Wavelet CFAR detector for automatic target detection

Dongwei Chen

doi:10.1117/12.359966

24 August 1999 Wavelet CFAR detector for automatic target detection

Dongwei Chen

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359966
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Dongwei Chen "Wavelet CFAR detector for automatic target detection", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359966

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