Classification of Land Cover of Polarimetric SAR Interferometry
极化干涉SAR数据地表土地类型分类

Based on the SIR-C L-band fully polarimetric SAR data of hotan area of Xinjiang Province,on October 9 and 10, in 1994,first,the basic principles of polarimetric SAR interferometiy measurement and data processing scheme are de-tailedly discussed. Then, three optimized coherence map related to three scattering mechanism are obtained by Cloude optimization algorithm. Furthermore, the strong dependency of interferometric coherence on the polarization and the coherence signatures of land cover related to three scattering mechanism are analysied, the inferometric phase corresponding to highest coherence map is useful in DEM extraction, the lowest coherence map is useful in identification of land cover. At last, based on the data correlation analysis of optimized coherence coefficient, backscattering coefficient and polarimetric entropy, making use of optimized coherence, polarimetric entropy and backscattering coefficient data, Identification and classification of land cover is implemented and evaluated. The good result is obtained.