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Proceedings Paper

Polarimetric techniques for enhancing SAR imagery
Author(s): Shawn M. Verbout; Christine M. Netishen; Leslie M. Novak
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Paper Abstract

This paper describes several techniques for enhancing fully polarimetric, high-resolution synthetic aperture radar (SAR) imagery. Image enhancement is viewed as a pre-processing step to prepare the SAR data for sophisticated detection, discrimination, and classification algorithms. The paper considers enhancement techniques that use polarimetric information in the imagery to achieve one or both of the following goals: (1) reduction of image speckle, and (2) improvement in target-to-clutter contrast. Three enhancement techniques are presented: the polarimetric whitening filter (PWF), the polarimetric enhancement filter (PEF), and the polarimetric matched filter (PMF). These polarimetric processing techniques are applied to actual SAR data gathered by the Lincoln Laboratory MMW airborne sensor. The resulting target and clutter statistics are compared for typical data sets at both 1ft by 1ft resolution and lm by lm resolution.

Paper Details

Date Published: 12 May 1992
PDF: 33 pages
Proc. SPIE 1630, Synthetic Aperture Radar, (12 May 1992); doi: 10.1117/12.59015
Show Author Affiliations
Shawn M. Verbout, Lincoln Lab./MIT (United States)
Christine M. Netishen, Lincoln Lab./MIT (United States)
Leslie M. Novak, Lincoln Lab./MIT (United States)

Published in SPIE Proceedings Vol. 1630:
Synthetic Aperture Radar
Richard D. McCoy; Martin E. Tanenhaus, Editor(s)

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