Automatic Target Recognition System Using Wavelet Transform and Cluster Analysis
Wavelet transform has received much attention in research and is widely applied for image coding, fractal analysis, speech synthesis, texture discrimination, etc. We have developed an automatic target recognition (ATR) system employing wavelet transforms to capture target signatures. Detection and segmentation stages efficiently differentiate the targets from background and write them as separate subimages. Segmented targets are subjected to wavelet decomposition. The feature vector that characterizes each target is a set of energy values calculated from the wavelet decomposed target images. The classification of the targets into several categories is performed using hierarchical cluster analysis.
A. Panapakkam and S. N. Balakrishnan, "Automatic Target Recognition System Using Wavelet Transform and Cluster Analysis," Proceedings of SPIE - The International Society for Optical Engineering, SPIE -- The International Society for Optical Engineering, Jan 1995.
The definitive version is available at http://dx.doi.org/10.1117/12.213057
Proceedings of SPIE - The International Society for Optical Engineering (1995, Orlando, FL, USA)
Mechanical and Aerospace Engineering
Article - Conference proceedings
© 1995 SPIE -- The International Society for Optical Engineering, All rights reserved.