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Most existing SAR image change detection algorithms only consider single pixel information of different images, and not consider the spatial dependencies of image pixels. So the change detection resul...
Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information, due to its extreme versatility and almost all-weather, day-and-night w...
In the image plane of GB-SAR, identification of deformation distribution is usually carried out by artificial interpretation. This method requires analysts to have adequate experience of radar imaging...
GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinde...
Geometric calibration is able to provide high-accuracy geometric coordinates of spaceborne SAR image through accurate geometric parameters in the Range-Doppler model by ground control points (GCPs). H...
Synthetic Aperture Radar (SAR) plays an important role in the classification and recognition of ship targets because of its all-weather working ability and fine resolution. In SAR images, besides the ...
Coastlines are important features for water resources, sea products, energy resources etc. Coastlines are changed dynamically, thus automated methods are necessary for analysing and detecting the chan...
Automatic image registration is a vital yet challenging task, particularly for multi-sensor remote sensing images. Given the diversity of the data, it is unlikely that a single registration algorithm ...
Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based ...
This paper presents a Synthetic Aperture Radar (SAR) image segmentation approach with unknown number of classes, which is based on regular tessellation and Reversible Jump Markov Chain Monte Carlo (RJ...
Image registration is concerned with the establishment of correspondence between the images of the same scene. It is a challenge problem especially when multispectral/multisensor images areregistered....
Modern space borne SAR sensors like TerraSAR-X and COSMO-SkyMed are capable of acquiring images with a geometric ground resolution of one meter. Airborne sensors achieve even higher ground resolutio...
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Airborne SAR images provide advanced means to get water bodies informatio...
Radar Imaging using SAR systems provides specific information that is very useful in the frame of "Digital Earth" applications (i.e. flood supervision, forestry or agriculture watch,). The main intere...
For the inherent speckles in SAR imagery, the processing of object extraction becomes more difficult. Using the traditional target extraction arithmetic for optical imagery, we can not get ideal resul...

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