A Polarimetric Classification Method Based on Neumann Decomposition
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Abstract
Apolarimetric SAR classification method is proposed in this paper.We can distinguish themorphology characteristic and do initial classification using anisotropy and orientation randomness.After that,Wishart distance is used to iteratively classify.E-SAR L band,SIR-C/X-SAR L band andSIR-C/X-SAR C band polarimetric data of Oberpfaffenhofen,Germany are employed to test the newmethod.The results demonstrate that the result of new method is better than the results of Freeman-Duren and Yamaguchi for vegetation area.
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