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Proceedings Paper

Automatic target recognition system using wavelet transform and cluster analysis
Author(s): Anitha Panapakkam; S. N. Balakrishnan
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Paper 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

Paper Details

Date Published: 5 July 1995
PDF: 8 pages
Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); doi: 10.1117/12.213057
Show Author Affiliations
Anitha Panapakkam, Univ. of Missouri/Rolla (United States)
S. N. Balakrishnan, Univ. of Missouri/Rolla (United States)


Published in SPIE Proceedings Vol. 2484:
Signal Processing, Sensor Fusion, and Target Recognition IV
Ivan Kadar; Vibeke Libby, Editor(s)

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