Classification and interpretation of polarimetric interferometric SAR data

In this paper is introduced an approach to the classification and interpretation of SAR data using the complementary polarimetric and interferometric information. An unsupervised polarimetric segmentation is applied to one of the separate interferometric dataset. The use of pertinent polarimetric indicators permits to give an interpretation of each resulting cluster scattering mechanism and to classify the observed scene into three canonical scattering types. The interpretation and the segmentation of an optimized interferometric coherency spectrum is applied, for each type of scattering, to initialize an unsupervised statistical interferometric classification procedure.