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Proceedings Paper

SAR target feature extraction using the 2D continuous wavelet transform
Author(s): Lance M. Kaplan; Romain Murenzi
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Paper Abstract

In this paper, we introduce the 2D continuous wavelet transform (CWT) as a tool for the detection stages of an SAR ATR system. We demonstrate that the 2D CWT tuned to reasonable target sizes can enhance the signal to clutter radio and improve detection performance in a focus of attention algorithm as compared to the traditional CFAR algorithm. We also show that the 2D CWT can be used to estimate the size and pose of a target, which can provide important features for second level detection. The detection and feature extraction algorithms were tested on measured one foot resolution SAR data.

Paper Details

Date Published: 10 June 1997
PDF: 12 pages
Proc. SPIE 3066, Radar Sensor Technology II, (10 June 1997); doi: 10.1117/12.276092
Show Author Affiliations
Lance M. Kaplan, Clark Atlanta Univ. (United States)
Romain Murenzi, Clark Atlanta Univ. (United States)

Published in SPIE Proceedings Vol. 3066:
Radar Sensor Technology II
Robert Trebits; James L. Kurtz, Editor(s)

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