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Proceedings Paper

Target isolation for SAR images
Author(s): Roger Xu; Chi-Man Kwan; Leonard S. Haynes
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Paper Abstract

Synthetic Aperture Radar (SAR) images are very useful for target recognition as they can avoid some of the shortcomings of optical cameras and infrared imagers. However, due to noise and clutter in the environment, the targets are hard to locate without preprocessing and target isolation algorithms. Here we propose an algorithm for enhancing target recognition. The algorithm consists of two steps. First, median filtering is performed to eliminate some speckles. Although median filter is simple, its performance is comparable to a method in the literature. Second, a method known as Sliding Quadrant developed by Intelligent Automation, Inc. is used to locate the potential targets in the SAR images. Our method achieves much better target isolation than a well-known method in the literature.

Paper Details

Date Published: 27 August 2001
PDF: 4 pages
Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438210
Show Author Affiliations
Roger Xu, Intelligent Automation, Inc. (United States)
Chi-Man Kwan, Intelligent Automation, Inc. (United States)
Leonard S. Haynes, Intelligent Automation, Inc. (United States)

Published in SPIE Proceedings Vol. 4382:
Algorithms for Synthetic Aperture Radar Imagery VIII
Edmund G. Zelnio, Editor(s)

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