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Proceedings Paper

Performance of the MACH filter and DCCF algorithms in the presence of data compression
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Paper Abstract

The impact of wavelet based compression on automatic target recognition (ATR) is investigated by applying wavelet compression to test scenes. The correlation algorithms known as maximum average correlation height (MACH) filter and the distance classifier correlation (DCCF) filter are used for ATR. The impact of compressing the correlation filters is also studied. The wavelet compression algorithm makes use of a progressive technique of embedded zerotree wavelet coding followed by adaptive arithmetic coding. Two target data sets are used for testing and training in this study. The first is composed of infrared (IR) images of a T72 tank and BMP armored personnel carrier. The second is a set of synthetic aperture radar (SAR) targets from the publicly released Moving and Stationary Target Acquisition and Recognition (MSTAR) database.

Paper Details

Date Published: 24 August 1999
PDF: 12 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359972
Show Author Affiliations
Bradley Walls, Raytheon Missile Systems Co. (United States)
Abhijit Mahalanobis, Raytheon Missile Systems Co. (United States)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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