Paper
21 November 2012 Sea clutter contamination test with log-cumulants
Ding Tao, Anthony P. Doulgeris, Camilla Brekke
Author Affiliations +
Proceedings Volume 8536, SAR Image Analysis, Modeling, and Techniques XII; 85360I (2012) https://doi.org/10.1117/12.976879
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom
Abstract
In maritime applications involving estimation of radar sea clutter properties, non-sea-clutter targets and transitions between statistically different oceanographic conditions in the estimation window may lead to inaccurate modeling. Referring to mixtures in the estimation window as contamination, this work introduces a novel sea clutter contamination test based on log-cumulants from Mellin kind statistics [1]. It measures the significant deviation in log-cumulant space due to the contamination, and appears to be an effective tool for improving the sea clutter estimation or to be a direct first-stage target detector. The proposed contamination test is examined with real single look complex (SLC) fine resolution quad-polarimetric Radarsat-2 synthetic aperture radar (SAR) measurements, from the Norwegian Sea, under various oceanographic conditions.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ding Tao, Anthony P. Doulgeris, and Camilla Brekke "Sea clutter contamination test with log-cumulants", Proc. SPIE 8536, SAR Image Analysis, Modeling, and Techniques XII, 85360I (21 November 2012); https://doi.org/10.1117/12.976879
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KEYWORDS
Contamination

Statistical analysis

Synthetic aperture radar

Polarization

Polarimetry

Target detection

Data modeling

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