SAR target feature extraction using the 2D continuous wavelet transform

Lance M. Kaplan; Romain Murenzi

doi:10.1117/12.276092

10 June 1997 SAR target feature extraction using the 2D continuous wavelet transform

Lance M. Kaplan, Romain Murenzi

Proceedings Volume 3066, Radar Sensor Technology II; (1997) https://doi.org/10.1117/12.276092
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Lance M. Kaplan and Romain Murenzi "SAR target feature extraction using the 2D continuous wavelet transform", Proc. SPIE 3066, Radar Sensor Technology II, (10 June 1997); https://doi.org/10.1117/12.276092

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