Application of wavelet and neural processing to automatic target recognition

Gene A. Tagliarini; Edward W. Page; Gregory M. Kesden; David J. Chiang; Philip J. McPartland

doi:10.1117/12.277100

23 June 1997 Application of wavelet and neural processing to automatic target recognition

Gene A. Tagliarini, Edward W. Page, Gregory M. Kesden, David J. Chiang, Philip J. McPartland

Proceedings Volume 3069, Automatic Target Recognition VII; (1997) https://doi.org/10.1117/12.277100
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

The general area of signal and image processing that focuses upon the detection and identification of military targets is known as automatic target recognition. This paper compares the impact of alternative wavelet processing techniques upon the performance of neural networks being used for target detection. In particular, the use of a filter whose coefficients are a linear combination of wavelet coefficients gave rise to an energy distribution in which targets were more detectable with fewer false alarms than when the same targets were sought in images whose data dimensionality was reduced using a conventional wavelet.

Citation Download Citation

Gene A. Tagliarini, Edward W. Page, Gregory M. Kesden, David J. Chiang, and Philip J. McPartland "Application of wavelet and neural processing to automatic target recognition", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277100

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