Abstract
Fully polarimetric SAR data analysis has found wide application for terrain classification, land-use, soil moisture and ground cover classification. Critical to all analyses and applications is accurate calibration of the relative amplitudes of and phases between the various polarimetric channels. Here we develop a minimalist approach to polarimetric calibration, wherein only the weakest of constraints, reciprocity, is initially imposed upon the data. Additional parameters are self-consistently estimated from the data. In this manner channel imbalances and cross-talk are estimated without unduly biasing the resulting polarimetric information.
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