Detection of dim targets in FLIR imagery using multiscale transforms

Dennis J. Gregoris; Simon K.W. Yu; Steve Tritchew; Leandre Sevigny

doi:10.1117/12.188698

17 October 1994 Detection of dim targets in FLIR imagery using multiscale transforms

Dennis J. Gregoris, Simon K.W. Yu, Steve Tritchew, Leandre Sevigny

Proceedings Volume 2269, Infrared Technology XX; (1994) https://doi.org/10.1117/12.188698
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

A new multiscale wavelet transform algorithm for dim target detection in forward looking infrared (FLIR) imagery is described. The algorithm was evaluated using a database of FLIR image sequences representing different target, sensor, and background clutter scenarios. Detection performance was quantified in terms of the receiver operating characteristics (ROC) for all sequences. The detection performance of the new algorithm was compared to the Holmes double-gated filter method and was found to be comparable or significantly better depending on the image sequence.

Citation Download Citation

Dennis J. Gregoris, Simon K.W. Yu, Steve Tritchew, and Leandre Sevigny "Detection of dim targets in FLIR imagery using multiscale transforms", Proc. SPIE 2269, Infrared Technology XX, (17 October 1994); https://doi.org/10.1117/12.188698

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