Geodesic Distance Based Scattering Power Decomposition for Compact Polarimetric SAR Data

We propose a geodesic distance based scattering power decomposition for compact polarimetric (CP) synthetic aperture radar (SAR) data acquired over agricultural landscapes. The proposed technique decomposes the polarized portion of total backscattered in proportion to normalized target similarity measures. measures are derived from distances, which computed between Kennaugh matrices observed and canonical targets (dihedral or trihedral). pseudo component double bounce power, can be attributed irregularities. In order compensate component, we compensation strategy by utilizing CP vegetation index ( CpRV I ). factor assisted readjusting components. approach was tested with real (RADARSAT Constellation Mission: RCM) simulated (RADARSAT-2: RS2) hybrid sites Canada. effectiveness demonstrated comparing decomposed powers recently decomposition.