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Proceedings Paper

Distortion-invariant filters for ISAR small-ship recognition
Author(s): David P. Casasent; Chao Yuan; Satoshi Ashizawa
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Paper Abstract

Pattern recognition of ISAR small ship images is considered. These represent a formidable new distortion-invariant pattern recognition problem. Variations to the standard image formation steps were used. The preprocessing used is briefly noted. These include new techniques to produce data with horizontal deckline and proper upward superstructure. New algorithms to determine if an input image is useful are developed. These were necessary for such data. New variations of standard distortion-invariant filters are developed to provide excellent recognition results.

Paper Details

Date Published: 20 March 2001
PDF: 9 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421127
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Chao Yuan, Carnegie Mellon Univ. (United States)
Satoshi Ashizawa, Mitsubishi Electric Corp. (Japan)


Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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