Improved Unsupervised Classification Based on Freeman-Durden Polarimetric Decomposition

Konferenz: EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar
02.06.2008 - 05.06.2008 in Friedrichshafen, Germany

Tagungsband: EUSAR 2008

Seiten: 4Sprache: EnglischTyp: PDF

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Yang, Wen; Zou, Tong-yuan; Sun, Hong; Xu, Xin (Signal Processing Laboratory, School of Electronic Information, Wuhan University, Luoyu Road 129#, 430079, Wuhan, Hubei province, China)

An improved unsupervised classification algorithm based on Freeman-Durden decomposition is presented. We survey the four different combinations of three basic scattering mechanisms by introducing the scattering power entropy and anisotropy parameter. Classification result on NASA/JPL AIRSAR L-band PolSAR data demonstrates the effectiveness of this algorithm.