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CN109724623A - A kind of two-dimensional calibrations method and device of mapping camera elements of interior orientation - Google Patents

A kind of two-dimensional calibrations method and device of mapping camera elements of interior orientation Download PDF

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CN109724623A
CN109724623A CN201811597198.0A CN201811597198A CN109724623A CN 109724623 A CN109724623 A CN 109724623A CN 201811597198 A CN201811597198 A CN 201811597198A CN 109724623 A CN109724623 A CN 109724623A
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point
surveying
coordinate system
mapping
azimuth
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CN109724623B (en
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远国勤
郑丽娜
张洪文
丁亚林
孙建军
李彬
张壮
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Changchun Institute of Optics Fine Mechanics and Physics of CAS
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Changchun Institute of Optics Fine Mechanics and Physics of CAS
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Abstract

本发明涉及航空测绘技术领域,具体涉及一种测绘相机内方位元素的二维标定方法及装置,该标定方法及装置使用平行光照射在测绘相机中线阵探测器的几何中心位置进行成像,记录此时测绘相机的方位角及俯仰角,改变测绘相机的方位角及俯仰角,直到平行光再次成像在测绘相机的线阵探测器中,记录此时测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标,根据多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标计算出测绘相机的内方位元素。通过调整测绘相机的方位角、俯仰角进行内方位元素标定,保证星点成像在测绘相机的同一行线阵中,实现了对线阵型测绘相机的精密标定。

The invention relates to the technical field of aerial surveying and mapping, in particular to a two-dimensional calibration method and device for azimuth elements in a surveying and mapping camera. The calibration method and device use parallel light to illuminate the geometric center position of a linear array detector in a surveying and mapping camera to perform imaging, and record the change the azimuth and elevation angles of the surveying and mapping camera, until the parallel light is imaged in the linear array detector of the surveying and mapping camera again, and record the azimuth angle, elevation angle and linear array detection of the surveying and mapping camera at this time. The position coordinates of the image points in the imaging of the detector are calculated, and the inner azimuth elements of the surveying and mapping cameras are calculated according to the azimuth and pitch angles of the multiple surveying and mapping cameras and the position coordinates of the image points in the imaging of the line array detector. By adjusting the azimuth and pitch angles of the surveying and mapping cameras, the internal azimuth elements are calibrated to ensure that the star points are imaged in the same line array of the surveying and mapping cameras, and the precise calibration of the line-array surveying and mapping cameras is realized.

Description

A kind of two-dimensional calibrations method and device of mapping camera elements of interior orientation
Technical field
The present invention relates to aerial mapping technical fields, in particular to a kind of two dimension of mapping camera elements of interior orientation Scaling method and device.
Background technique
Linear array mapping camera has the advantages such as big base-height ratio, high-efficient, obtains in modern Aviation mapping and widely answers It needed before use with, linear array mapping camera to principal point, main carry out precision calibration away from elements of interior orientation such as, distortion.
Linear array mapping camera generally carries out elements of interior orientation calibration using precision angle method in laboratory, realizes this side The caliberating device of method include standard sources 1, light pipe holder 2, parallel light tube 3, mapping camera 4, camera support 5, precise rotating platform 6, Vibration-isolating platform 7, as shown in Figure 1, the star tester in single asterism hole is installed in 3 image planes of parallel light tube, for simulating single infinity Target.This method calibration principle is as shown in Figure 2: adjustment precise rotating platform 6, mapping camera 4, mutual between parallel light tube 3 first Relationship, when guaranteeing that precise rotating platform 6 is in zero-bit, asterism is imaged at the selected initial value M of CCD image planes, and M is generally taken as CCD picture The geometric center in face, O is the principal point to be asked of optical system, S in Fig. 2xFor projection of the principal point in CCD image planes, OSxFor wait ask main Away from x0For principal point calibration value, fxBased on away from calibration value, due to the influence of distortion, be located at true field angle αiLocate asterism PiImaging In focal plane Pi' place, according to geometric optics, αiLocate PiThe optical distortion Δ of lightiAre as follows: Δi=xi-x0-fx×tan(αi-dα)。 Change angle with precise rotating platform 6, obtains n asterism angle [alpha]123...αnAnd corresponding image point position x1,x2,x3...xn, with Observation point distortion quadratic sumMinimum constraint condition can solve principal point x according to least-squares algorithm0, it is main away from fx, distortion ΔiEqual elements of interior orientation.Precision angle method has many advantages, such as that algorithm is direct, precision is higher, but there is also following problems:
1. this method is one-dimension calibration, need during the calibration process, all asterisms are imaged on the same of linear array detector In row pixel, need accurately leveling the positional relationship between turntable, camera and light pipe before calibration;
2. have biggish distortion in big visual field line-scan digital camera optical system, make linear array detector in image planes for pincushion or It is barrel-shaped, it will not be straight line, cause even if carrying out accurate adjustment to the relationship of turntable, camera and light pipe before calibration, also not May during the calibration process, in the case where not adjusting the elevation angle, asterism images in the same of linear array detector in entire visual field In row pixel, i.e. this method calibration for not being suitable for big visual field linear array mapping camera.
Summary of the invention
The embodiment of the invention provides a kind of two-dimensional calibrations method and devices of mapping camera elements of interior orientation, at least to solve Certainly technological deficiency when existing progress one-dimension calibration.
According to an embodiment of the invention, a kind of two-dimensional calibrations method of mapping camera elements of interior orientation is provided, including with Lower step:
Step b: being imaged using the geometric center position that directional light is radiated at linear array detector in mapping camera, record The azimuth of mapping camera and pitch angle at this time;
Step c: changing azimuth and the pitch angle of mapping camera, until directional light re-imaging is in the linear array of mapping camera Image point position coordinate in detector, in the record azimuth of mapping camera, pitch angle and linear array detector imaging at this time;
Step d: being repeated several times step c, obtains in azimuth, pitch angle and the linear array detector imaging of multiple mapping cameras Image point position coordinate;
Step e: according to the image point position coordinate in the imaging of the azimuth of multiple mapping cameras, pitch angle and linear array detector Calculate the elements of interior orientation of mapping camera.
Further, step e includes:
According to the image point position coordinate in the imaging of the azimuth of multiple mapping cameras, pitch angle and linear array detector, and make The elements of interior orientation of mapping camera is calculated using least square adjustment method with distortion quadratic sum minimum constraint condition.
Further, step c includes:
The azimuth for changing mapping camera, judges that can directional light be imaged in the linear array detector of mapping camera, if can, Image point position coordinate in the record azimuth of mapping camera, pitch angle and linear array detector imaging at this time;If cannot, change and surveys The pitch angle of camera is drawn, until directional light can be imaged in the linear array detector of mapping camera, record mapping camera at this time Image point position coordinate in azimuth, pitch angle and linear array detector imaging.
Further, method includes:
Step b: being imaged using the geometric center position that directional light is radiated at linear array detector in mapping camera, record The azimuth of mapping camera is set to zero by the pitch angle β of mapping camera at this time;
Step c: changing azimuth and the pitch angle of mapping camera, until directional light re-imaging is in the linear array of mapping camera Detector G1Point position, records the azimuth angle alpha of mapping camera1And pitch angle (β+d β1), record G1Point image point position coordinate G1x
Step d: step c is repeated several times, successively obtains G2, G3..., GnPoint records the pitch angle (β+d of mapping camera β2), (β+d β3) ..., (β+d βn) and azimuth angle alpha2, α3..., αn, record G2, G3..., GnImage point position coordinate G2x, G3x..., Gn x
Step e: according to the image point position coordinate in the imaging of the azimuth of n mapping camera, pitch angle and linear array detector The elements of interior orientation of mapping camera is calculated, the integer that wherein n is >=1.
Further, photo coordinate system xNy and turntable coordinate system XOY is defined, x-axis is linear array spy in photo coordinate system Device length direction is surveyed, N is the intersection point in the online array detector of principal point, and X-axis is parallel with dimensional turntable pitch axis in turntable coordinate system, Y Axis is parallel with dimensional turntable azimuth axis, and mapping camera is mounted in dimensional turntable;When M point is that dimensional turntable is located at zero point, in parallel Picture point of the light pipe in linear array detector;
The transformational relation of plane coordinate system xNy and turntable coordinate system XOY are as follows:
MO=CN OMN+T (15)
M in formula (1)OFor M point in turntable coordinate system XOY coordinate, MNFor M point in plane coordinate system xNy coordinate, MOPoint x Coordinate is denoted as MOx, y-coordinate is denoted as MOy, CN O2 × 2 spin matrixs converted for plane coordinate system xNy to turntable coordinate system XOY:
θ indicates the angle between linear array detector and dimensional turntable direction of rotation, formula (1) in formula (2) y0It is principal point y to coordinate, G1Point distortion can method for solving it is as follows: dimensional turntable is around its azimuth axis rotation alpha1D is rotated further around pitch axis β1When, the asterism of directional light subpoint in photo coordinate system xNy by M point is moved to G at this time1Point, then in Rt Δ OO1In S, It can be in the hope of:
F is the master of mapping camera away from M in formula (3)OxFor M point in turntable coordinate system XOY x coordinate, MOyIt is M point in turntable Y-coordinate in coordinate system XOY, SO1For line segment SO1Length;When d α is that parallel light tube turns to S point by M point, dimensional turntable is in side Position to rotational angle;
Then in Rt Δ O1In SH:
SH indicates the length of line segment SH, H in formula (4)OxFor point H in turntable coordinate system XOY x coordinate, HOyTurning for M point Y-coordinate in platform coordinate system XOY;
After acquiring H point, in Rt Δ OKO1、RtΔG1KO1In to G1Point is solved:
O in formula (5)1K indicates line segment O1The length of K, G1Ox、G1OyRespectively G1X, the y of point in turntable coordinate system XOY are sat Mark, can obtain according to formula (1):
GN1=(CN O)-1(GO1-T) (20)
(C in formula (6)N O)-1Representing matrix CN OInverse matrix;GN1For G1In the coordinate of plane coordinate system xNy, x, y are sat point Mark is denoted as G respectivelyN1xAnd GN1y, then G can be obtained1Point distortion are as follows:
DG in formula (7)1xIndicate G point x to distortion, DG1yIndicate G point y to distortion;In entire calibration process, G is obtained altogether1, G2, G3..., GnAmount to n calibration point, then basisMinimum constraint condition, using least square adjustment Method can acquire mapping camera principal point x0、y0, main away from f, distort Δi
Further, the elements of interior orientation of mapping camera include principal point, it is main away from, distortion.
According to another embodiment of the present invention, a kind of two-dimensional calibrations device of mapping camera elements of interior orientation is provided, is wrapped It includes:
First recording unit, in the geometric center position for being radiated at linear array detector in mapping camera using directional light After being imaged, the azimuth of mapping camera and pitch angle at this time are recorded;
Second recording unit, for change mapping camera azimuth and pitch angle, until directional light re-imaging exists After in the linear array detector of mapping camera, record is at this time in the azimuth of mapping camera, pitch angle and linear array detector imaging Image point position coordinate;
Acquiring unit, the picture point in azimuth, pitch angle and linear array detector imaging for recording multiple mapping cameras Position coordinates;
Computing unit, for according to the picture point in the imaging of the azimuth of multiple mapping cameras, pitch angle and linear array detector Position coordinates calculate the elements of interior orientation of mapping camera.
Further, computing unit is used to be imaged according to the azimuth of multiple mapping cameras, pitch angle and linear array detector In image point position coordinate, and survey calculated using least square adjustment method using distortion quadratic sum minimum constraint condition Draw the elements of interior orientation of camera.
Further, the calculating step of computing unit are as follows:
Photo coordinate system xNy and turntable coordinate system XOY is defined, x-axis is that linear array detector is rectangular in photo coordinate system To N is the intersection point in the online array detector of principal point, and X-axis is parallel with dimensional turntable pitch axis in turntable coordinate system, Y-axis and two dimension Turntable azimuth axis is parallel, and mapping camera is mounted in dimensional turntable;When M point is that dimensional turntable is located at zero point, parallel light tube is online Picture point in array detector;
The transformational relation of plane coordinate system xNy and turntable coordinate system XOY are as follows:
MO=CN OMN+T (22)
M in formula (1)OFor M point in turntable coordinate system XOY coordinate, MNFor M point in plane coordinate system xNy coordinate, MOPoint x Coordinate is denoted as MOx, y-coordinate is denoted as MOy, CN O2 × 2 spin matrixs converted for plane coordinate system xNy to turntable coordinate system XOY:
θ indicates the angle between linear array detector and dimensional turntable direction of rotation, formula (1) in formula (2) y0It is principal point y to coordinate, G1Point distortion can method for solving it is as follows: dimensional turntable is around its azimuth axis rotation alpha1D is rotated further around pitch axis β1When, the asterism of directional light subpoint in photo coordinate system xNy by M point is moved to G at this time1Point, then in Rt Δ OO1In S, It can be in the hope of:
F is the master of mapping camera away from M in formula (3)OxFor M point in turntable coordinate system XOY x coordinate, MOyIt is M point in turntable Y-coordinate in coordinate system XOY, SO1For line segment SO1Length;When d α is that parallel light tube turns to S point by M point, dimensional turntable is in side Position to rotational angle;
Then in Rt Δ O1In SH:
SH indicates the length of line segment SH, H in formula (4)OxFor point H in turntable coordinate system XOY x coordinate, HOyTurning for M point Y-coordinate in platform coordinate system XOY;
After acquiring H point, in Rt Δ OKO1、RtΔG1KO1In to G1Point is solved:
O in formula (5)1K indicates line segment O1The length of K, G1Ox、G1OyRespectively G1X, the y of point in turntable coordinate system XOY are sat Mark, can obtain according to formula (1):
GN1=(CN O)-1(GO1-T) (27)
(C in formula (6)N O)-1Representing matrix CN OInverse matrix;GN1For G1In the coordinate of plane coordinate system xNy, x, y are sat point Mark is denoted as G respectivelyN1xAnd GN1y, then G can be obtained1Point distortion are as follows:
DG in formula (7)1xIndicate G point x to distortion, DG1yIndicate G point y to distortion;In entire calibration process, G is obtained altogether1, G2, G3..., GnAmount to n calibration point, then basisMinimum constraint condition, using least square adjustment Method can acquire mapping camera principal point x0、y0, main away from f, distort Δi
Further, the elements of interior orientation of mapping camera include principal point, it is main away from, distortion.
The two-dimensional calibrations method and device of one of embodiment of the present invention mapping camera elements of interior orientation, by adjusting survey Azimuth, the pitch angle progress elements of interior orientation calibration for drawing camera, guarantee that asterism is imaged in the same line battle array of mapping camera, Realize the precision calibration to linear array type mapping camera.The scaling method is simple, and when calibration does not need to parallel light tube, mapping phase Mutual alignment relation between machine, dimensional turntable accurately level.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the schematic diagram of caliberating device in the prior art;
Fig. 2 is the schematic diagram for realizing Fig. 1 caliberating device;
Scaling method flow chart of the invention when Fig. 3;
Fig. 4 is the schematic diagram for realizing Fig. 3 scaling method;
Fig. 5 is the module map of caliberating device of the invention;
Fig. 6 is the schematic diagram of caliberating device of the invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, " Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product Or other step or units that equipment is intrinsic.
Embodiment 1
An embodiment according to the present invention provides a kind of two-dimensional calibrations method of mapping camera elements of interior orientation, referring to figure 3, comprising the following steps:
Step b: being imaged using the geometric center position that directional light is radiated at linear array detector in mapping camera, record The azimuth of mapping camera and pitch angle at this time;
Step c: changing azimuth and the pitch angle of mapping camera, until directional light re-imaging is in the linear array of mapping camera Image point position coordinate in detector, in the record azimuth of mapping camera, pitch angle and linear array detector imaging at this time;
Step d: being repeated several times step c, obtains in azimuth, pitch angle and the linear array detector imaging of multiple mapping cameras Image point position coordinate;
Step e: according to the image point position coordinate in the imaging of the azimuth of multiple mapping cameras, pitch angle and linear array detector Calculate the elements of interior orientation of mapping camera.
The two-dimensional calibrations method of one of embodiment of the present invention mapping camera elements of interior orientation, by adjusting mapping camera Azimuth, pitch angle carry out elements of interior orientation calibration, guarantee that asterism is imaged in the same line battle array of mapping camera, realize To the precision calibration of linear array type mapping camera.The scaling method is simple, and when calibration does not need to parallel light tube, mapping camera, two The mutual alignment relation between turntable is tieed up accurately level.
In as a preferred technical scheme, step e includes:
According to the image point position coordinate in the imaging of the azimuth of multiple mapping cameras, pitch angle and linear array detector, and make The elements of interior orientation of mapping camera is calculated using least square adjustment method with distortion quadratic sum minimum constraint condition.
In as a preferred technical scheme, step c includes:
The azimuth for changing mapping camera, judges that can directional light be imaged in the linear array detector of mapping camera, if can, Image point position coordinate in the record azimuth of mapping camera, pitch angle and linear array detector imaging at this time;If cannot, change and surveys The pitch angle of camera is drawn, until directional light can be imaged in the linear array detector of mapping camera, record mapping camera at this time Image point position coordinate in azimuth, pitch angle and linear array detector imaging.
In as a preferred technical scheme, method includes:
Step b: being imaged using the geometric center position that directional light is radiated at linear array detector in mapping camera, record The azimuth of mapping camera is set to zero by the pitch angle β of mapping camera at this time;
Step c: changing azimuth and the pitch angle of mapping camera, until directional light re-imaging is in the linear array of mapping camera Detector G1Point position, records the azimuth angle alpha of mapping camera1And pitch angle (β+d β1), record G1Point image point position coordinate G1x
Step d: step c is repeated several times, successively obtains G2, G3..., GnPoint records the pitch angle (β+d of mapping camera β2), (β+d β3) ..., (β+d βn) and azimuth angle alpha2, α3..., αn, record G2, G3..., GnImage point position coordinate G2x, G3x..., Gn x
Step e: according to the image point position coordinate in the imaging of the azimuth of n mapping camera, pitch angle and linear array detector The elements of interior orientation of mapping camera is calculated, the integer that wherein n is >=1.
In as a preferred technical scheme, referring to fig. 4, photo coordinate system xNy and turntable coordinate system XOY is defined, as flat X-axis is linear array detector length direction in areal coordinate system, and N is the intersection point in the online array detector of principal point, in turntable coordinate system X-axis with Dimensional turntable pitch axis is parallel, and Y-axis is parallel with dimensional turntable azimuth axis, and mapping camera is mounted in dimensional turntable;M point is two dimension When turntable is located at zero point, picture point of the parallel light tube in linear array detector is typically chosen as the midpoint of linear array detector length direction;
The transformational relation of plane coordinate system xNy and turntable coordinate system XOY are as follows:
MO=CN OMN+T (29)
M in formula (1)OFor M point in turntable coordinate system XOY coordinate, MNFor M point in plane coordinate system xNy coordinate, MOPoint x Coordinate is denoted as MOx, y-coordinate is denoted as MOy, CN O2 × 2 spin matrixs converted for plane coordinate system xNy to turntable coordinate system XOY:
θ indicates the angle between linear array detector and dimensional turntable direction of rotation, formula (1) in formula (2) y0It is principal point y to coordinate, G1Point distortion can method for solving it is as follows: dimensional turntable is around its azimuth axis rotation alpha1D is rotated further around pitch axis β1When, the asterism of directional light subpoint in photo coordinate system xNy by M point is moved to G at this time1Point, then in Rt Δ OO1In S, It can be in the hope of:
F is the master of mapping camera away from M in formula (3)OxFor M point in turntable coordinate system XOY x coordinate, MOyIt is M point in turntable Y-coordinate in coordinate system XOY, SO1For line segment SO1Length;When d α is that parallel light tube turns to S point by M point, dimensional turntable is in side Position to rotational angle;
Then in Rt Δ O1In SH:
SH indicates the length of line segment SH, H in formula (4)OxFor point H in turntable coordinate system XOY x coordinate, HOyTurning for M point Y-coordinate in platform coordinate system XOY;
After acquiring H point, in Rt Δ OKO1、RtΔG1KO1In to G1Point is solved:
O in formula (5)1K indicates line segment O1The length of K, G1Ox、G1OyRespectively G1X, the y of point in turntable coordinate system XOY are sat Mark, can obtain according to formula (1):
GN1=(CN O)-1(GO1-T) (34)
(C in formula (6)N O)-1Representing matrix CN OInverse matrix;GN1For G1In the coordinate of plane coordinate system xNy, x, y are sat point Mark is denoted as G respectivelyN1xAnd GN1y, then G can be obtained1Point distortion are as follows:
DG in formula (7)1xIndicate G point x to distortion, DG1yIndicate G point y to distortion;In entire calibration process, G is obtained altogether1, G2, G3..., GnAmount to n calibration point, then basisMinimum constraint condition, using least square adjustment Method can acquire mapping camera principal point x0、y0, main away from f, distort Δi
In as a preferred technical scheme, the elements of interior orientation of mapping camera includes principal point, main away from, distortion.
Embodiment 2
Another embodiment according to the present invention provides a kind of two-dimensional calibrations device of mapping camera elements of interior orientation, referring to Fig. 5, comprising:
First recording unit 201, in the geometric center for being radiated at linear array detector in mapping camera using directional light After position is imaged, the azimuth of mapping camera and pitch angle at this time are recorded;
Second recording unit 202, for change mapping camera azimuth and pitch angle, until directional light re-imaging After in the linear array detector of mapping camera, record is at this time in the azimuth of mapping camera, pitch angle and linear array detector imaging Image point position coordinate;
Acquiring unit 203, the picture in azimuth, pitch angle and linear array detector imaging for recording multiple mapping cameras Point position coordinates;
Computing unit 204, for according to the picture in the imaging of the azimuth of multiple mapping cameras, pitch angle and linear array detector Point position coordinates calculate the elements of interior orientation of mapping camera.
The two-dimensional calibrations device of one of embodiment of the present invention mapping camera elements of interior orientation does not need accurate adjustment and turns The mutual alignment relation of platform, camera and parallel light tube, step is simple, and surveys and draws phase especially suitable for big visual field, big distortion linear array The elements of interior orientation of machine is demarcated, and the caliberating device is as shown in fig. 6, include standard sources 1, light pipe holder 2, parallel light tube 3, mapping Camera 4, dimensional turntable 5, vibration-isolating platform 6 are wherein equipped with the star tester with single asterism hole in 3 image planes of parallel light tube, Demarcating steps are as follows:
A. mapping camera 4 is fixed in dimensional turntable 5;
B. dimensional turntable 5 is adjusted, the directional light of parallel light tube 3 is allowed to be imaged in mapping camera 4 in linear array detector geometry Heart position;Record the azimuth of dimensional turntable 5 and pitch angle at this time;
C. change the azimuth of dimensional turntable 5, whether the asterism for observing star tester can be imaged in linear array detector, such as Fruit can be imaged, and record the azimuth of dimensional turntable 5 and pitch angle at this time, while recording image point position coordinate at this time;If no It can be imaged, adjust the pitching shafting of dimensional turntable 5, change the pitch angle of dimensional turntable 5, until asterism can be imaged on linear array spy It surveys in device, records the azimuth of dimensional turntable 5 and pitch angle at this time, while recording image point position coordinate at this time;
D. step c) is repeated, in the field range of mapping camera 4, azimuth and the pitch angle of dimensional turntable 5 is adjusted, allows Mapping camera 4 is imaged parallel light tube 3 in n angle, records the azimuth and pitch angle of n dimensional turntable 5, records n A image point position coordinate;
E. according to the azimuth of dimensional turntable 5, pitch angle and image point position coordinate, according to the distortion minimum constraint of quadratic sum Condition solves the elements of interior orientation of mapping camera 4.
Beneficial effects of the present invention are at least are as follows:
The present invention carries out elements of interior orientation calibration by adjusting the azimuth of dimensional turntable 5, pitch angle, guarantees asterism imaging In the same line battle array of mapping camera 4, the precision calibration to linear array type mapping camera 4 is realized.
Scaling method is simple, and when calibration does not need to the mutual position between parallel light tube 3, mapping camera 4, dimensional turntable 5 Relationship is set accurately to be leveled.
Below with specific embodiment, caliberating device of the invention is described in detail, the demarcating steps of the caliberating device Are as follows:
A. dimensional turntable 5 is adjusted, the asterism of parallel light tube 3 is allowed to be imaged on linear array detector geometric center position M;
The azimuth of dimensional turntable 5 is set to zero by the pitch angle β for b. recording dimensional turntable 5 at this time;
C. dimensional turntable 5 is rotated, the azimuth and pitch angle, asterism for changing dimensional turntable 5 image in linear array detector G1 Point position, records the azimuth angle alpha of dimensional turntable 51And pitch angle (β+d β1), record G1Point image point position coordinate G1x
D. step c) is repeated, G is successively obtained2, G3..., GnPoint records the pitch angle (β+d β of dimensional turntable 52), (β+d β3) ..., (β+d βn) and azimuth angle alpha2, α3..., αn, record G2, G3..., GnImage point position coordinate G2x, G3x..., Gnx
E. elements of interior orientation is solved.
Solution procedure is as follows: in order to solve conveniently, photo coordinate system xNy and turntable coordinate system XOY is defined, as plane is sat X-axis is linear array detector length direction in mark system, and N is the intersection point in the online array detector of principal point, X-axis and two dimension in turntable coordinate system 5 pitch axis of turntable is parallel, and Y-axis is parallel with 5 azimuth axis of dimensional turntable.
In order to express conveniently, all the points are expressed in turntable XOY coordinate system, if without specified otherwise in following, All the points are expressed in turntable XOY coordinate system.According to Fig. 4, the conversion of plane coordinate system xNy and turntable coordinate system XOY Relationship are as follows: when M point is that dimensional turntable 5 is located at zero point, picture point of the parallel light tube 3 in linear array detector is typically chosen as linear array spy Survey the midpoint of device length direction;
The transformational relation of plane coordinate system xNy and turntable coordinate system XOY are as follows:
MO=CN OMN+T (36)
M in formula (1)OFor M point in turntable coordinate system XOY coordinate, MNFor M point in plane coordinate system xNy coordinate, MOPoint x Coordinate is denoted as MOx, y-coordinate is denoted as MOy, CN O2 × 2 spin matrixs converted for plane coordinate system xNy to turntable coordinate system XOY:
θ indicates the angle between linear array detector and dimensional turntable direction of rotation, formula (1) in formula (2) y0It is principal point y to coordinate, G1Point distortion can method for solving it is as follows: dimensional turntable is around its azimuth axis rotation alpha1D is rotated further around pitch axis β1When, the asterism of directional light subpoint in photo coordinate system xNy by M point is moved to G at this time1Point, then in Rt Δ OO1In S, It can be in the hope of:
F is the master of mapping camera away from M in formula (3)OxFor M point in turntable coordinate system XOY x coordinate, MOyIt is M point in turntable Y-coordinate in coordinate system XOY, SO1For line segment SO1Length;When d α is that parallel light tube turns to S point by M point, dimensional turntable is in side Position to rotational angle;
Then in Rt Δ O1In SH:
SH indicates the length of line segment SH, H in formula (4)OxFor point H in turntable coordinate system XOY x coordinate, HOyTurning for M point Y-coordinate in platform coordinate system XOY;
After acquiring H point, in Rt Δ OKO1、RtΔG1KO1In to G1Point is solved:
O in formula (5)1K indicates line segment O1The length of K, G1Ox、G1OyRespectively G1X, the y of point in turntable coordinate system XOY are sat Mark, can obtain according to formula (1):
GN1=(CN O)-1(GO1-T) (41)
(C in formula (6)N O)-1Representing matrix CN OInverse matrix;GN1For G1In the coordinate of plane coordinate system xNy, x, y are sat point Mark is denoted as G respectivelyN1xAnd GN1y, then G can be obtained1Point distortion are as follows:
DG in formula (7)1xIndicate G point x to distortion, DG1yIndicate G point y to distortion;In entire calibration process, G is obtained altogether1, G2, G3..., GnAmount to n calibration point, then basisMinimum constraint condition, using least square adjustment Method can acquire mapping camera principal point x0、y0, main away from f, distort Δi
Caliberating device of the invention carries out elements of interior orientation calibration by adjusting the azimuth of mapping camera, pitch angle, protects Card asterism is imaged in the same line battle array of mapping camera, realizes the precision calibration to linear array type mapping camera.The calibration side Method is simple, and when calibration does not need accurately to level the mutual alignment relation between parallel light tube, mapping camera, dimensional turntable ?.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others Mode is realized.Wherein, system embodiment described above is only schematical, such as the division of unit, can be one kind Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of unit or module, It can be electrical or other forms.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple units On.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product To be stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention substantially or Say that all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products Out, which is stored in a storage medium, including some instructions are used so that a computer equipment (can be personal computer, server or network equipment etc.) executes all or part of step of each embodiment method of the present invention Suddenly.And storage medium above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (10)

1.一种测绘相机内方位元素的二维标定方法,其特征在于,包括以下步骤:1. a two-dimensional calibration method of orientation elements in a surveying and mapping camera, is characterized in that, comprises the following steps: 步骤b:使用平行光照射在测绘相机中线阵探测器的几何中心位置进行成像,记录此时测绘相机的方位角及俯仰角;Step b: use parallel light to illuminate the geometric center position of the linear array detector in the surveying and mapping camera for imaging, and record the azimuth and elevation angles of the surveying and mapping camera at this time; 步骤c:改变测绘相机的方位角及俯仰角,直到平行光再次成像在测绘相机的线阵探测器中,记录此时测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标;Step c: Change the azimuth and elevation angles of the surveying and mapping camera until the parallel light is imaged in the linear array detector of the surveying and mapping camera again, and record the azimuth and elevation angles of the surveying and mapping camera and the image point position in the imaging of the linear detector. coordinate; 步骤d:多次重复步骤c,获取多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标;Step d: Repeat step c for many times to obtain the azimuth angle, the pitch angle of the plurality of surveying and mapping cameras, and the position coordinates of the image points in the imaging of the linear array detector; 步骤e:根据多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标计算出测绘相机的内方位元素。Step e: Calculate the inner azimuth element of the surveying and mapping cameras according to the azimuth and pitch angles of the plurality of surveying and mapping cameras and the position coordinates of the image points in the imaging of the linear array detector. 2.根据权利要求1所述的方法,其特征在于,所述步骤e包括:2. The method according to claim 1, wherein the step e comprises: 根据多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标,并使用畸变平方和最小为约束条件,采用最小二乘平差方法,计算出测绘相机的内方位元素。According to the azimuth and pitch angles of multiple surveying and mapping cameras and the image point position coordinates in the imaging of the linear array detector, and using the minimum sum of distortion squares as the constraint condition, the least squares adjustment method is used to calculate the inner orientation elements of the surveying and mapping cameras. . 3.根据权利要求1所述的方法,其特征在于,所述步骤c包括:3. The method according to claim 1, wherein the step c comprises: 改变测绘相机的方位角,判断平行光能否成像在测绘相机的线阵探测器中,若能,记录此时测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标;若不能,改变测绘相机的俯仰角,直至平行光能够成像在测绘相机的线阵探测器中,记录此时测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标。Change the azimuth angle of the surveying and mapping camera to determine whether the parallel light can be imaged in the linear array detector of the surveying and mapping camera, and if so, record the azimuth angle, pitch angle of the surveying and mapping camera and the image point position coordinates in the imaging of the linear array detector; If not, change the pitch angle of the surveying and mapping camera until the parallel light can be imaged in the linear array detector of the surveying and mapping camera, and record the azimuth angle, pitch angle of the surveying and mapping camera and the image point position coordinates in the imaging of the linear array detector. 4.根据权利要求1所述的方法,其特征在于,所述方法包括:4. The method of claim 1, wherein the method comprises: 步骤b:使用平行光照射在测绘相机中线阵探测器的几何中心位置进行成像,记录此时测绘相机的俯仰角β,将测绘相机的方位角置为零;Step b: use parallel light to illuminate the geometric center position of the linear array detector in the surveying and mapping camera for imaging, record the elevation angle β of the surveying and mapping camera at this time, and set the azimuth angle of the surveying and mapping camera to zero; 步骤c:改变测绘相机的方位角及俯仰角,直到平行光再次成像在测绘相机的线阵探测器G1点位置,记录测绘相机的方位角α1及俯仰角(β+dβ1),记录G1点像点位置坐标G1xStep c: Change the azimuth angle and pitch angle of the surveying and mapping camera until the parallel light is imaged again at the position of the line detector G1 of the surveying and mapping camera, record the azimuth angle α1 and the pitch angle (β + dβ1 ) of the surveying and mapping camera, and record G 1 point image point position coordinate G 1x ; 步骤d:多次重复步骤c,依次获取G2,G3,...,Gn点,记录测绘相机的俯仰角(β+dβ2),(β+dβ3),...,(β+dβn)及方位角α2,α3,...,αn,记录G2,G3,...,Gn像点位置坐标G2x,G3x,...,GnxStep d : Repeat step c for many times , obtain G 2 , G 3 , . β +n ) and azimuth angles α 2 , α 3 ,...,α n , record G 2 , G 3 , ... ; 步骤e:根据n个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标计算出测绘相机的内方位元素,其中n为≥1的整数。Step e: Calculate the inner azimuth element of the surveying and mapping cameras according to the azimuth and pitch angles of the n surveying and mapping cameras and the position coordinates of the image points in the imaging of the linear array detector, where n is an integer greater than or equal to 1. 5.根据权利要求4所述的方法,其特征在于,定义像平面坐标系xNy及转台坐标系XOY,像平面坐标系中x轴为线阵探测器长方向,N为主点在线阵探测器中的垂足,转台坐标系中X轴与二维转台俯仰轴平行,Y轴与二维转台方位轴平行,测绘相机安装在二维转台上;M点为二维转台位于零点时,平行光管在线阵探测器中的像点;5. The method according to claim 4, wherein the image plane coordinate system xNy and the turntable coordinate system XOY are defined, the x-axis in the image plane coordinate system is the long direction of the linear array detector, and N is the main point of the linear array detector. In the vertical foot of the turntable coordinate system, the X axis is parallel to the pitch axis of the two-dimensional turntable, and the Y axis is parallel to the azimuth axis of the two-dimensional turntable. The image point in the linear array detector; 平面坐标系xNy与转台坐标系XOY的转换关系为:The transformation relationship between the plane coordinate system xNy and the turntable coordinate system XOY is: MO=CN OMN+T (1)M O =C N O M N +T (1) 式(1)中MO为M点在转台坐标系XOY中坐标,MN为M点在平面坐标系xNy中坐标,MO点x坐标记为MOx,y坐标记为MOy,CN O为平面坐标系xNy向转台坐标系XOY变换的2×2旋转矩阵:In formula (1), M O is the coordinate of point M in the turntable coordinate system XOY, M N is the coordinate of point M in the plane coordinate system xNy, the x coordinate of the M O point is M Ox , the y coordinate is M Oy , CN O is the 2×2 rotation matrix of the transformation from the plane coordinate system xNy to the turntable coordinate system XOY: 式(2)中θ表示线阵探测器与二维转台旋转方向之间的夹角,式(1)y0为主点y向坐标,G1点畸变可求解方法如下:二维转台绕其方位轴旋转α1再绕俯仰轴旋转dβ1时,此时平行光的星点在像平面坐标系xNy中投影点由M点移动到G1点,则在RtΔOO1S中,可以求得:In formula (2), θ represents the angle between the linear array detector and the rotation direction of the two-dimensional turntable, formula (1) y 0 is the y-direction coordinate of the main point, and the distortion of G 1 can be solved as follows: when the two-dimensional turntable rotates around its azimuth axis by α 1 and then rotates around its elevation axis by dβ 1 , the star point of the parallel light is in the image plane coordinate system xNy The mid-projection point moves from point M to point G 1 , then in RtΔOO 1 S, we can obtain: 式(3)中f为测绘相机的主距,MOx为M点在转台坐标系XOY中x坐标,MOy为M点在转台坐标系XOY中y坐标,SO1为线段SO1的长度;dα为平行光管由M点转动到S点时,二维转台在方位向的转动角度;In formula (3), f is the main distance of the surveying and mapping camera, M Ox is the x coordinate of the M point in the turntable coordinate system XOY, M Oy is the y coordinate of the M point in the turntable coordinate system XOY, and SO 1 is the length of the line segment SO 1 ; dα is the rotation angle of the two-dimensional turntable in the azimuth direction when the collimator is rotated from point M to point S; 则在RtΔO1SH中:Then in RtΔO 1 SH: 式(4)中SH表示线段SH的长度,HOx为点H在转台坐标系XOY中x坐标,HOy为M点在转台坐标系XOY中y坐标;In formula (4), SH represents the length of the line segment SH, H Ox is the x coordinate of the point H in the turntable coordinate system XOY, and H Oy is the y coordinate of the M point in the turntable coordinate system XOY; 求得H点后,在RtΔOKO1、RtΔG1KO1中对G1点进行求解:After the H point is obtained, the G 1 point is solved in RtΔOKO 1 , RtΔG 1 KO 1 : 式(5)中O1K表示线段O1K的长度,G1Ox、G1Oy分别为G1点在转台坐标系XOY中的x、y坐标,根据式(1)可得:In formula (5), O 1 K represents the length of line segment O 1 K, and G 1Ox and G 1Oy are the x and y coordinates of point G 1 in the turntable coordinate system XOY, respectively. According to formula (1), we can obtain: GN1=(CN O)-1(GO1-T) (6)G N1 = (C N O ) -1 (G O1 -T) (6) 式(6)中(CN O)-1表示矩阵CN O的逆矩阵;GN1为G1点在平面坐标系xNy的坐标,其x,y坐标分别记为GN1x和GN1y,则可得G1点畸变为:In formula (6), (C N O ) -1 represents the inverse matrix of the matrix C N O ; G N1 is the coordinate of the point G 1 in the plane coordinate system xNy, and its x and y coordinates are respectively recorded as G N1x and G N1y , then The distortion of G1 point can be obtained as: 式(7)中DG1x表示G点x向畸变,DG1y表示G点y向畸变;在整个标定过程中,共获取G1,G2,G3,...,Gn共计n标定点,则根据最小为约束条件,采用最小二乘平差方法,可求得测绘相机主点x0、y0,主距f,畸变ΔiIn formula (7), DG 1x represents the x-direction distortion of the G point, and DG 1y represents the y-direction distortion of the G point; in the whole calibration process, a total of n calibration points G 1 , G 2 , G 3 ,..., G n are obtained. , then according to The minimum is a constraint condition, and by using the least squares adjustment method, the principal points x 0 , y 0 of the surveying and mapping camera, principal distance f, and distortion Δ i can be obtained. 6.根据权利要求1所述的方法,其特征在于,所述测绘相机的内方位元素包括主点、主距、畸变。6 . The method according to claim 1 , wherein the interior orientation elements of the surveying and mapping camera include principal point, principal distance, and distortion. 7 . 7.一种测绘相机内方位元素的二维标定装置,其特征在于,包括:7. A two-dimensional calibration device for orientation elements in a surveying and mapping camera, characterized in that, comprising: 第一记录单元,用于在使用平行光照射在测绘相机中线阵探测器的几何中心位置进行成像后,记录此时测绘相机的方位角及俯仰角;The first recording unit is used to record the azimuth angle and the pitch angle of the surveying and mapping camera at this time after using the parallel light to illuminate the geometric center position of the linear array detector in the surveying and mapping camera for imaging; 第二记录单元,用于在改变测绘相机的方位角及俯仰角,直到平行光再次成像在测绘相机的线阵探测器中后,记录此时测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标;The second recording unit is used to record the azimuth angle, elevation angle and linear array detector of the surveying and mapping camera at this time after changing the azimuth angle and the elevation angle of the surveying and mapping camera until the parallel light is imaged in the linear array detector of the surveying and mapping camera again. Image point position coordinates in imaging; 获取单元,用于记录多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标;an acquisition unit, used for recording the azimuth angle, the pitch angle of the plurality of surveying and mapping cameras and the image point position coordinates in the imaging of the linear array detector; 计算单元,用于根据多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标计算出测绘相机的内方位元素。The calculation unit is used for calculating the inner azimuth element of the surveying and mapping camera according to the azimuth angle, the pitch angle of the plurality of surveying and mapping cameras and the position coordinates of the image point in the imaging of the linear array detector. 8.根据权利要求7所述的装置,其特征在于,所述计算单元用于根据多个测绘相机的方位角、俯仰角及线阵探测器成像中的像点位置坐标,并使用畸变平方和最小为约束条件,采用最小二乘平差方法,计算出测绘相机的内方位元素。8 . The device according to claim 7 , wherein the calculation unit is configured to use the distortion sum of squares according to the azimuth angle, the elevation angle of a plurality of surveying cameras and the position coordinates of the image points in the imaging of the linear array detector. 9 . The minimum is the constraint condition, and the least squares adjustment method is used to calculate the interior orientation elements of the surveying and mapping camera. 9.根据权利要求7所述的装置,其特征在于,所述计算单元的计算步骤为:9. The device according to claim 7, wherein the calculation step of the calculation unit is: 定义像平面坐标系xNy及转台坐标系XOY,像平面坐标系中x轴为线阵探测器长方向,N为主点在线阵探测器中的垂足,转台坐标系中X轴与二维转台俯仰轴平行,Y轴与二维转台方位轴平行,测绘相机安装在二维转台上;M点为二维转台位于零点时,平行光管在线阵探测器中的像点;Define the image plane coordinate system xNy and the turntable coordinate system XOY. In the image plane coordinate system, the x-axis is the long direction of the linear array detector, N is the main point of the vertical foot of the linear array detector, and the X-axis in the turntable coordinate system is related to the two-dimensional turntable. The pitch axis is parallel, the Y axis is parallel to the azimuth axis of the two-dimensional turntable, and the surveying and mapping camera is installed on the two-dimensional turntable; point M is the image point of the collimator in the line array detector when the two-dimensional turntable is at the zero point; 平面坐标系xNy与转台坐标系XOY的转换关系为:The transformation relationship between the plane coordinate system xNy and the turntable coordinate system XOY is: MO=CN OMN+T (8)M O =C N O M N +T (8) 式(1)中MO为M点在转台坐标系XOY中坐标,MN为M点在平面坐标系xNy中坐标,MO点x坐标记为MOx,y坐标记为MOy,CN O为平面坐标系xNy向转台坐标系XOY变换的2×2旋转矩阵:In formula (1), M O is the coordinate of point M in the turntable coordinate system XOY, M N is the coordinate of point M in the plane coordinate system xNy, the x coordinate of the M O point is M Ox , the y coordinate is M Oy , CN O is the 2×2 rotation matrix of the transformation from the plane coordinate system xNy to the turntable coordinate system XOY: 式(2)中θ表示线阵探测器与二维转台旋转方向之间的夹角,式(1)y0为主点y向坐标,G1点畸变可求解方法如下:二维转台绕其方位轴旋转α1再绕俯仰轴旋转dβ1时,此时平行光的星点在像平面坐标系xNy中投影点由M点移动到G1点,则在RtΔOO1S中,可以求得:In formula (2), θ represents the angle between the linear array detector and the rotation direction of the two-dimensional turntable, formula (1) y 0 is the y-direction coordinate of the main point, and the distortion of G 1 can be solved as follows: when the two-dimensional turntable rotates around its azimuth axis by α 1 and then rotates around its elevation axis by dβ 1 , the star point of the parallel light is in the image plane coordinate system xNy The mid-projection point moves from point M to point G 1 , then in RtΔOO 1 S, we can obtain: 式(3)中f为测绘相机的主距,MOx为M点在转台坐标系XOY中x坐标,MOy为M点在转台坐标系XOY中y坐标,SO1为线段SO1的长度;dα为平行光管由M点转动到S点时,二维转台在方位向的转动角度;In formula (3), f is the main distance of the surveying and mapping camera, M Ox is the x coordinate of the M point in the turntable coordinate system XOY, M Oy is the y coordinate of the M point in the turntable coordinate system XOY, and SO 1 is the length of the line segment SO 1 ; dα is the rotation angle of the two-dimensional turntable in the azimuth direction when the collimator is rotated from point M to point S; 则在RtΔO1SH中:Then in RtΔO 1 SH: 式(4)中SH表示线段SH的长度,HOx为点H在转台坐标系XOY中x坐标,HOy为M点在转台坐标系XOY中y坐标;In formula (4), SH represents the length of the line segment SH, H Ox is the x coordinate of the point H in the turntable coordinate system XOY, and H Oy is the y coordinate of the M point in the turntable coordinate system XOY; 求得H点后,在RtΔOKO1、RtΔG1KO1中对G1点进行求解:After the H point is obtained, the G 1 point is solved in RtΔOKO 1 , RtΔG 1 KO 1 : 式(5)中O1K表示线段O1K的长度,G1Ox、G1Oy分别为G1点在转台坐标系XOY中的x、y坐标,根据式(1)可得:In formula (5), O 1 K represents the length of line segment O 1 K, and G 1Ox and G 1Oy are the x and y coordinates of point G 1 in the turntable coordinate system XOY, respectively. According to formula (1), we can obtain: GN1=(CN O)-1(GO1-T) (13)G N1 = (C N O ) -1 (G O1 -T) (13) 式(6)中(CN O)-1表示矩阵CN O的逆矩阵;GN1为G1点在平面坐标系xNy的坐标,其x,y坐标分别记为GN1x和GN1y,则可得G1点畸变为:In formula (6), (C N O ) -1 represents the inverse matrix of the matrix C N O ; G N1 is the coordinate of the point G 1 in the plane coordinate system xNy, and its x and y coordinates are respectively recorded as G N1x and G N1y , then The distortion of G1 point can be obtained as: 式(7)中DG1x表示G点x向畸变,DG1y表示G点y向畸变;在整个标定过程中,共获取G1,G2,G3,...,Gn共计n标定点,则根据最小为约束条件,采用最小二乘平差方法,可求得测绘相机主点x0、y0,主距f,畸变ΔiIn formula (7), DG 1x represents the x-direction distortion of the G point, and DG 1y represents the y-direction distortion of the G point; in the whole calibration process, a total of n calibration points G 1 , G 2 , G 3 ,..., G n are obtained. , then according to The minimum is a constraint condition, and by using the least squares adjustment method, the principal points x 0 , y 0 of the surveying and mapping camera, principal distance f, and distortion Δ i can be obtained. 10.根据权利要求7所述的装置,其特征在于,所述测绘相机的内方位元素包括主点、主距、畸变。10 . The device according to claim 7 , wherein the interior orientation elements of the surveying and mapping camera include principal point, principal distance, and distortion. 11 .
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Publication number Priority date Publication date Assignee Title
CN110045634A (en) * 2019-05-09 2019-07-23 自然资源部第二大地测量队(黑龙江第一测绘工程院) A kind of non-mistake difference modeling method of GNSS base station
CN110166766A (en) * 2019-06-04 2019-08-23 合肥工业大学 A kind of coplanar collinear image formation combined debugging method of multi-thread array CCD camera
CN111964693A (en) * 2020-07-21 2020-11-20 中国科学院长春光学精密机械与物理研究所 A calibration method for high-precision inner and outer orientation elements of a surveying and mapping camera
WO2022016356A1 (en) * 2020-07-21 2022-01-27 中国科学院长春光学精密机械与物理研究所 Method for calibrating high-precision interior and exterior orientation elements of mapping camera

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101261737A (en) * 2008-01-04 2008-09-10 中国科学院光电技术研究所 Two-dimensional calibration device and calibration method for digital aerial camera
CN102494698A (en) * 2011-12-12 2012-06-13 中国科学院长春光学精密机械与物理研究所 Calibration method for inner orientation elements in lab
CN104655153A (en) * 2015-02-11 2015-05-27 中国科学院长春光学精密机械与物理研究所 Method for calibrating elements of interior orientation of mapping camera based on matrix orthogonality

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101261737A (en) * 2008-01-04 2008-09-10 中国科学院光电技术研究所 Two-dimensional calibration device and calibration method for digital aerial camera
CN102494698A (en) * 2011-12-12 2012-06-13 中国科学院长春光学精密机械与物理研究所 Calibration method for inner orientation elements in lab
CN104655153A (en) * 2015-02-11 2015-05-27 中国科学院长春光学精密机械与物理研究所 Method for calibrating elements of interior orientation of mapping camera based on matrix orthogonality

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045634A (en) * 2019-05-09 2019-07-23 自然资源部第二大地测量队(黑龙江第一测绘工程院) A kind of non-mistake difference modeling method of GNSS base station
CN110166766A (en) * 2019-06-04 2019-08-23 合肥工业大学 A kind of coplanar collinear image formation combined debugging method of multi-thread array CCD camera
CN111964693A (en) * 2020-07-21 2020-11-20 中国科学院长春光学精密机械与物理研究所 A calibration method for high-precision inner and outer orientation elements of a surveying and mapping camera
WO2022016356A1 (en) * 2020-07-21 2022-01-27 中国科学院长春光学精密机械与物理研究所 Method for calibrating high-precision interior and exterior orientation elements of mapping camera

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