Eken et al., 2019 - Google Patents
Resource-and content-aware, scalable stitching framework for remote sensing imagesEken et al., 2019
View PDF- Document ID
- 10380842448002031966
- Author
- Eken S
- Mert Ã
- KoÅŸunalp S
- Sayar A
- Publication year
- Publication venue
- Arabian Journal of Geosciences
External Links
Snippet
This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their …
- 238000000034 method 0 abstract description 31
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11657533B2 (en) | Computer vision systems and methods for ground surface condition detection and extraction from digital images | |
| Huang et al. | Road centreline extraction from highâ€resolution imagery based on multiscale structural features and support vector machines | |
| Tehrany et al. | A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery | |
| Puissant et al. | The utility of texture analysis to improve perâ€pixel classification for high to very high spatial resolution imagery | |
| Zhu et al. | The recognition of road network from highâ€resolution satellite remotely sensed data using image morphological characteristics | |
| Li et al. | Integrated shadow removal based on photogrammetry and image analysis | |
| Li et al. | Urban building damage detection from very high resolution imagery using OCSVM and spatial features | |
| Li et al. | Multispectral image segmentation by a multichannel watershedâ€based approach | |
| Aytekın et al. | Unsupervised building detection in complex urban environments from multispectral satellite imagery | |
| Peng et al. | Model and contextâ€driven building extraction in dense urban aerial images | |
| Alshawabkeh | Linear feature extraction from point cloud using color information | |
| Xie et al. | A novel extended phase correlation algorithm based on Log-Gabor filtering for multimodal remote sensing image registration | |
| Mayunga et al. | A semiâ€automated approach for extracting buildings from QuickBird imagery applied to informal settlement mapping | |
| Chen et al. | A new process for the segmentation of high resolution remote sensing imagery | |
| Schuetter et al. | Autodetection of ancient Arabian tombs in high-resolution satellite imagery | |
| Cheriyadat et al. | Mapping of settlements in high-resolution satellite imagery using high performance computing | |
| Pan et al. | Region change rate-driven seamline determination method | |
| Xu et al. | Improved SIFT match for optical satellite images registration by size classification of blob-like structures | |
| Eken et al. | Resource-and content-aware, scalable stitching framework for remote sensing images | |
| Dong et al. | A cloud detection method for GaoFen-6 wide field of view imagery based on the spectrum and variance of superpixels | |
| Han et al. | Automatic and accurate registration of VHR optical and SAR images using a quadtree structure | |
| Yang et al. | Intelligent road extraction from high resolution remote sensing images based on optimized SVM | |
| Eken et al. | A MapReduce-based distributed and scalable framework for stitching of satellite mosaic images | |
| Maltezos et al. | Understanding historical cityscapes from aerial imagery through machine learning | |
| Khudov et al. | The method of determining the elements of urban infrastructure objects based on Hough transformation |