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Proceedings Paper

Impact of lossy wavelet-based image compression on ATR discrimination performance
Author(s): Susanna Leveroni Kamon; Alan Chao
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Paper Abstract

This work investigates the effect of lossy, wavelet-based image compression on ATR performance using SAR imagery. Specifically, we use the Lincoln Laboratory designed, ATR discriminator to consider how ATR performance varies with compression ratio. We vary compression ratio using two variables: threshold value and quantization number. First, we consider the problem of optimizing performance through the choice of compression variables, given a selected feature set. Next, we consider the problem of selecting the feature set that optimizes performance, given a specified compression ratio. We find that when features are classified by type, their performance as a function of compression ratio can be generalized.

Paper Details

Date Published: 18 September 1998
PDF: 12 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323862
Show Author Affiliations
Susanna Leveroni Kamon, Alphatech, Inc. (United States)
Alan Chao, Alphatech, Inc. (United States)


Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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