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Proceedings Paper

Polarimetric matched image filter in POL-SAR image enhancement
Author(s): Andrew C. Segal; Mattias Walther; Wolfgang-Martin Boerner; Hyo Joon Eom
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Paper Abstract

When determining the nature of speckle in microwave POL-SAR image analysis, various known methods of speckle reduction are reviewed and compared for the purpose of enhancing image quality in polarimetric matched image filtering. Basic principles of the Polarimetric Matched Image Filter (PMIF) are presented and by utilizing the now widely used NASA-JPL C-Band POL-SAR data sets, collected over the San Francisco Bay area, the PMIF concept, together with various speckle reduction methods are verified and interpreted. Specific emphasis is placed on demonstrating the efficiency and usefulness of applying the PMIF method to the optimization of image discriminants in POL-SAR image analysis.

Paper Details

Date Published: 12 February 1993
PDF: 62 pages
Proc. SPIE 1748, Radar Polarimetry, (12 February 1993); doi: 10.1117/12.140620
Show Author Affiliations
Andrew C. Segal, Univ. of Illinois/Chicago (United States)
Mattias Walther, Univ. of Illinois/Chicago (United States)
Wolfgang-Martin Boerner, Univ. of Illinois/Chicago (United States)
Hyo Joon Eom, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 1748:
Radar Polarimetry
Harold Mott; Wolfgang-Martin Boerner, Editor(s)

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