Polarimetric matched image filter in POL-SAR image enhancement

Andrew C. Segal; Mattias Walther; Wolfgang-Martin Boerner; Hyo Joon Eom

doi:10.1117/12.140620

12 February 1993 Polarimetric matched image filter in POL-SAR image enhancement

Andrew C. Segal, Mattias Walther, Wolfgang-Martin Boerner, Hyo Joon Eom

Proceedings Volume 1748, Radar Polarimetry; (1993) https://doi.org/10.1117/12.140620
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Andrew C. Segal, Mattias Walther, Wolfgang-Martin Boerner, and Hyo Joon Eom "Polarimetric matched image filter in POL-SAR image enhancement", Proc. SPIE 1748, Radar Polarimetry, (12 February 1993); https://doi.org/10.1117/12.140620

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