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Proceedings Paper

Evaluation of a regularized SAR imaging technique based on recognition-oriented features
Author(s): Mujdat Cetin; William Clement Karl; David A. Castanon
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Paper Abstract

One of the biggest challenges for automatic target recognition (ATR) methods is the accurate and efficient extraction of features from synthetic aperture radar (SAR) images. We have recently developed a new SAR image formation technique which is recognition-oriented in the sense that it enhances features in the scene which we believe are important for recognition purposes. In this paper, we evaluate the performance of the images produced by this technique in terms of preserving and enhancing these features. The findings of our analysis indicate that the new SAR image formation method provides images with higher resolution of scatterers, and better separability of different regions as compared to conventional SAR images.

Paper Details

Date Published: 24 August 2000
PDF: 12 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396369
Show Author Affiliations
Mujdat Cetin, Boston Univ. (United States)
William Clement Karl, Boston Univ. (United States)
David A. Castanon, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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