Attributed scattering center feature extraction of high resolution SAR image and classification algorithm

In this paper, a new Attributed Scattering Center(ASC) feature extraction model is proposed. Together with normalization procedure, optimization of amplitude and the length of scattering center feature extraction, we can get a fine estimation of ASC parameter. The image reconstruction experiment demonstrates that with fewer scattering center can we get a satisfied description of SAR image. Moreover, we also do classifaication experiments on TerraSAR-X data base, the result demonstrate that KNN classification method with ASC feature can obtain a better result than GLGM and GMRF. In this way the usage of ACS is exterded.