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Proceedings Paper

Multidimensional wavelets for target detection and recognition
Author(s): Sang-Il Park; Romain Murenzi; Mark J. T. Smith
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Paper Abstract

The work described in this paper addresses the use of the four-dimensional continuous wavelet transform (CWT) for automatic target recognition (ATR) and detection. This transform is an overcomplete representation with four coordinates: two spatial, t1 and t2; a rotational coordinate, (theta) ; and a scale coordinate, a. Two central ideas are discussed in connection with the transform's application to target recognition. The first is cross-scale reconstruction, which refers to exploiting the dominate presence of target features across scales. The second is utilizing the non-spatial coordinate space as a working environment for feature extraction and classification. This aspect is unique to the multidimensional wavelet transform, emanating from the inherent redundancy in the transform representation. Some conclusions are drawn in the last section regarding the utility of the CWT for ATR, and the transform's potential as an analysis tool.

Paper Details

Date Published: 22 March 1996
PDF: 11 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.235991
Show Author Affiliations
Sang-Il Park, Georgia Institute of Technology (United States)
Romain Murenzi, Clark Atlanta Univ. (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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