DocumentCode :
3305395
Title :
Application of the polarimetric matched image filter (PMIF) technique to clutter removal in POL-SAR images of the ocean environment
Author :
Boerner, Wolfgang M. ; Kostinski, Alexander B. ; James, Brian D. ; Walther, Matthias
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fYear :
1988
fDate :
31 Oct-2 Nov 1988
Firstpage :
454
Abstract :
Image contrast optimization between two rough surface classes, which is based strictly on polarimetric filtering and therefore requires no digital image processing techniques, is considered. The approach is tested on a complete polarimetric synthetic aperture radar image of the San Francisco Bay area. Optimal transmitted polarizations are found for each image pixel and the results are analyzed statistically using a set of joint 2-D histograms. The image response to the optimal incident polarization is simulated digitally by adjusting the receiver polarization according to the modes of the histograms. The corresponding images are computed and displayed with significant image contrast improvement
Keywords :
matched filters; oceanographic techniques; optical radar; picture processing; polarimetry; San Francisco Bay area; image contrast optimisation; incident polarization; joint 2D histograms; ocean environment; polarimetric filtering; polarimetric synthetic aperture radar image; receiver polarization; Digital filters; Digital images; Filtering; Histograms; Matched filters; Polarimetric synthetic aperture radar; Polarization; Rough surfaces; Surface roughness; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS '88. A Partnership of Marine Interests. Proceedings
Conference_Location :
Baltimore, MD
Type :
conf
DOI :
10.1109/OCEANS.1988.23545
Filename :
23545
Link To Document :
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