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Automated Target Recognition Using the Karhunen–Loéve Transform with Invariance

✍ Scribed by Sofia Suvorova; Jim Schroeder

Book ID: 102570343
Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 244 KB
Volume: 12
Category: Article
ISSN: 1051-2004
DOI: 10.1006/dspr.2002.0445

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✦ Synopsis

In this paper we present an automated target recognition (ATR) algorithm, based on the Karhunen-Loéve transform with rigid motion invariance. The ATR algorithm aims reduce the storage space and the processing time by comparison with a template-matching algorithm without the loss of performance. The algorithm has been tested on the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset both for training and for classification.  2002 Elsevier Science (USA)