Constraint least-squares estimation for polarimetrie parameters in compact data

摘要

Feature extraction is very important for interpreting polarimteric SAR images. Compact Polarimetrie imaging mode has been provided as an experimental mode in ALOS/PALSAR-2 to enable wide swath coverages of more polarimeric observations compared to the conventional dual-pol modes. In this study, to explore more information from compact data, we propose a least squares (LS) method to estimate the parameters of surface, double-bounce, and volume scattering mechanisms. Verifications on ALOS/PALSAR-2 data show that significant features are preserved by the new method for surface characterisation.