Ghassemian, 2016 - Google Patents
A review of remote sensing image fusion methodsGhassemian, 2016
- Document ID
- 14438243294889392319
- Author
- Ghassemian H
- Publication year
- Publication venue
- Information Fusion
External Links
Snippet
The recent years have been marked by continuous improvements of remote sensors with applications like monitoring and management of the environment, precision agriculture, security and defense. On the one hand, the high spectral resolution is necessary for an …
- 230000004927 fusion 0 title abstract description 258
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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
- G01S13/9035—Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
-
- 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
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
-
- 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
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ghassemian | A review of remote sensing image fusion methods | |
| Samadzadegan et al. | A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects | |
| Al-Wassai et al. | Major limitations of satellite images | |
| Gómez-Chova et al. | Multimodal classification of remote sensing images: A review and future directions | |
| Kayitakire et al. | Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery | |
| Nichol et al. | Satellite remote sensing for detailed landslide inventories using change detection and image fusion | |
| Sowmya et al. | Remote sensing satellite image processing techniques for image classification: a comprehensive survey | |
| Bioucas-Dias et al. | Hyperspectral remote sensing data analysis and future challenges | |
| Jawak et al. | A spectral index ratio-based Antarctic land-cover mapping using hyperspatial 8-band WorldView-2 imagery | |
| Sudharsan et al. | A survey on hyperspectral imaging for mineral exploration using machine learning algorithms | |
| Ha et al. | A review of potential image fusion methods for remote sensing-based irrigation management: Part II | |
| Koch | Remote sensing supporting national forest inventories NFA | |
| Shah et al. | Image fusion of SAR and optical images for identifying Antarctic ice features | |
| Prasad et al. | Optical remote sensing | |
| Wang et al. | Fusion of HJ1B and ALOS PALSAR data for land cover classification using machine learning methods | |
| Kpalma et al. | Recent trends in satellite image pan-sharpening techniques | |
| Axelsson et al. | Target detection in hyperspectral imagery using forward modeling and in-scene information | |
| Qadri et al. | Multisource data fusion framework for land use/land cover classification using machine vision | |
| Rangzan et al. | Supervised cross-fusion method: a new triplet approach to fuse thermal, radar, and optical satellite data for land use classification | |
| El_Rahman | Performance of spectral angle mapper and parallelepiped classifiers in agriculture hyperspectral image | |
| Sharma et al. | Principal component based fusion of land surface temperature (LST) and panchromatic (PAN) images | |
| Mancini et al. | A multi/hyper-spectral imaging system for land use/land cover using unmanned aerial systems | |
| Meng et al. | Improving the spatial resolution of hyperspectral image using panchromatic and multispectral images: An integrated method | |
| Ghoniemy et al. | Multi-stage guided-filter for SAR and optical satellites images fusion using Curvelet and Gram Schmidt transforms for maritime surveillance | |
| Oza et al. | Evaluation and use of Resourcesat-I data for agricultural applications |