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Proceedings Paper

Performance comparison of phenomenology-based features to generic features for false alarm reduction in UWB SAR imagery
Author(s): Jay A. Marble; John D. Gorman
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Paper Abstract

A feature based approach is taken to reduce the occurrence of false alarms in foliage penetrating, ultra-wideband, synthetic aperture radar data. A set of 'generic' features is defined based on target size, shape, and pixel intensity. A second set of features is defined that contains generic features combined with features based on scattering phenomenology. Each set is combined using a quadratic polynomial discriminant (QPD), and performance is characterized by generating a receiver operating characteristic (ROC) curve. Results show that the feature set containing phenomenological features improves performance against both broadside and end-on targets. Performance against end-on targets, however, is especially pronounced.

Paper Details

Date Published: 13 August 1999
PDF: 8 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357640
Show Author Affiliations
Jay A. Marble, ERIM International, Inc. (United States)
John D. Gorman, ERIM International, Inc. (United States)


Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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