ANALYSIS OF DIFFERENT POLARIMETRIC DECOMPOSITION TECHNIQUES USING COMPACT POLARIMETRIC NISAR DATA FOR AHMEDABAD, INDIA

Abstract. The present study addresses the potential of airborne NASA – ISRO Synthetic Aperture Radar (NISAR) compact polarimetric (CP) data to discriminate land cover classes emphasizing urban area for parts Ahmedabad city, India. This has been carried out by generating m-Delta, m-Chi and m-Alpha decompositions using Compact Polarimetric L band NISAR data. In Hybrid data, both m-delta m-chi have almost same formulations, indicating that delta chi play roles as indicators single-bounce double-bounce scattering. However, M-delta seem preferable over M-chi stoke parameter is highly susceptible towards orientation. It also observed building orientation density effect on scattering pattern. attributed target which parallel look direction sensor. Supervised classification m-Delta decomposition was all accuracy 81.1 % in study.