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Proceedings Paper

Wavelet CFAR detector for automatic target detection
Author(s): Dongwei Chen
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Paper Abstract

Tanner Research, Inc. has developed an arbitrary-scale wavelet constant false alarm rate detector (CFAR) for automatic target recognition (ATR). The proposed effort will be the first exploration of the connection between a traditional CFAR detector and a wavelet transient detector. Traditional CFAR detectors use a fixed, pre-selected kernel scale. Our detector will instead automatically select the scale most beneficial scale for image analysis. Our optimal-scale wavelet CFAR reduces the need for computationally expensive classifiers; thus, it improves image analysis efficiency.

Paper Details

Date Published: 24 August 1999
PDF: 9 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359966
Show Author Affiliations
Dongwei Chen, Tanner Research, Inc. (United States)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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