✦ LIBER ✦

A SAR Target Classifier Using Radon Transforms and Hidden Markov Models

✍ Scribed by Chanin Nilubol; Russell M. Mersereau; Mark J.T. Smith

Book ID: 102570337
Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 261 KB
Volume: 12
Category: Article
ISSN: 1051-2004
DOI: 10.1006/dspr.2002.0430

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✦ Synopsis

This paper describes an alternative to template matching for SAR automatic target recognition. The approach uses a Radon transform to map each target chip to a vector series. It then models each series as a sample of a hidden Markov process for which identification can be performed by using a modified Viterbi recognition engine. By using appropriate preprocessing and feature selection, performance for aerial SAR can be made invariant to the orientation of the target using only a single model for each target class. Performance is comparable to, or better than, that obtainable using template matching with only a fraction of the required storage.  2002 Elsevier Science (USA)

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