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 of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
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.