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Proceedings Paper

New image features for discriminating targets from clutter
Author(s): Shawn M. Verbout; Alison L. Weaver; Leslie M. Novak
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Paper Abstract

In this paper, we introduce a new set of image features for use in the discrimination algorithm of a baseline automatic target recognition (ATR) system. These new features are designed to capture the changes in spatial dispersion of the high-intensity pixels in the input image as the image is threshold at different intensity levels. We show that significantly better performance can be obtained when the new features are used in place of the baseline discrimination features. In particular, we demonstrate with a large set of high-resolution synthetic aperture radar imagery that, when the probability of detection is between 0.5 and 1.0, the false alarm density obtained using the new features is approximately 30 to 50 times lower than that obtained using the baseline features. For medium-resolution imagery, the false alarm density has been reduced by a factor of 3 to 5 using the new features.

Paper Details

Date Published: 26 August 1998
PDF: 18 pages
Proc. SPIE 3395, Radar Sensor Technology III, (26 August 1998); doi: 10.1117/12.319439
Show Author Affiliations
Shawn M. Verbout, MIT Lincoln Lab. (United States)
Alison L. Weaver, MIT Lincoln Lab. (United States)
Leslie M. Novak, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 3395:
Radar Sensor Technology III
Robert Trebits; James L. Kurtz, Editor(s)

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