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Feature matching, which refers to establishing reliable feature correspondences between two images of the same scene, is a critical prerequisite in a wide range of remote sensing tasks including environment monitoring, multispectral image fusion, image mosaic, change detection, map updating. In this paper, we propose a method for robust feature matching and apply it to the problem of remote sensing...
In this paper, we propose a novel formulation for building accurate pixel-wise alignments between remote sensing images under non-rigid distortions. Our formulation involves two variables: the first is a discrete displacement flow field similar to optical flow which controls the pixel-wise correspondence and allows piecewise smoothness, while the second is a continuous spatial transformation which...
The atmospheric correction for the ocean color remote sensing is the most important technique to retrieve the water- leaving radiance, which is less than about 10% of the satellite radiance. In Case II waters, the standard atmospheric correction method embedded in SeaDAS frequently yields negative water- leaving radiance, and its major uncertainties are occurred by the estimation error of atmospheric...
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