SAR image classification by image intensity similarity and kernel method

Abstract

Aiming at the classification problem of Synthetic aperture radar (SAR) images, a classifier based on image intensity and structure is constructed. To overcome the disadvantages of conventional template matching algorithms, similarity between two images is calculated by Hausdorff function, which can handle the distortions and pixel perturbations. The… (More)

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@article{Yuan2012SARIC, title={SAR image classification by image intensity similarity and kernel method}, author={Xiao - Guang Yuan and Tao Tang and Yu Li and Yi Su}, journal={2012 5th International Congress on Image and Signal Processing}, year={2012}, pages={1386-1389} }