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