Beyond calibration, the mitigation and suppression of clutter signals is still a challenge in radar remote sensing. The weather radar market trend (for aviation and hydrological/meteorological applications) shows explicitly that the decision for polarimetric radar systems is continuously increasing, since the potential capabilities and benefits of dual-polarization radar systems are well known. This publication presents an automatic discrimination method between weather and sea clutter based on multi-parameter polar datasets (Doppler and polarimetric) as well as the generation of a sea clutter probability index. Additionally, a new polar-based clutter type map will be introduced and the suppression of sea clutter signals outlined.
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