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A Unified Framework for Analysis of Polarimetric SAR Data

In the Polarimetric Synthetic Aperture Radar (PolSAR) literature, the approaches to coherent and incoherent data interpretation are bifurcated. In this paper, we present a Scattering Power Factorization Framework using a geodesic distance (for measuring dissimilarity between two Kennaugh matrices) to obtain scattering power components corresponding to input scattering models for an observation. It can be applied to both incoherent/coherent form of data, making it more universal in its approach. In addition, it is flexible with respect to the number of input models, and presents a non-negative splitting of total backscattered power across all polarimetric channels. It is demonstrated for its efficacy on a coherent data set containing a sub-scene of ALOS 2 L-band image near Singapore, and an incoherent data set of RADARSAT 2 C-band covering the city of San Francisco.