Automatic target recognition system using wavelet transform and cluster analysis

Anitha Panapakkam; S. N. Balakrishnan

doi:10.1117/12.213057

5 July 1995 Automatic target recognition system using wavelet transform and cluster analysis

Anitha Panapakkam, S. N. Balakrishnan

Proceedings Volume 2484, Signal Processing, Sensor Fusion, and Target Recognition IV; (1995) https://doi.org/10.1117/12.213057
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

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. 117

Citation Download Citation

Anitha Panapakkam and S. N. Balakrishnan "Automatic target recognition system using wavelet transform and cluster analysis", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); https://doi.org/10.1117/12.213057

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