New image features for discriminating targets from clutter

Shawn M. Verbout; Alison L. Weaver; Leslie M. Novak

doi:10.1117/12.319439

26 August 1998 New image features for discriminating targets from clutter

Shawn M. Verbout, Alison L. Weaver, Leslie M. Novak

Proceedings Volume 3395, Radar Sensor Technology III; (1998) https://doi.org/10.1117/12.319439
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Shawn M. Verbout, Alison L. Weaver, and Leslie M. Novak "New image features for discriminating targets from clutter", Proc. SPIE 3395, Radar Sensor Technology III, (26 August 1998); https://doi.org/10.1117/12.319439

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