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.