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Proceedings Paper

Composite filters for ISAR ship classification
Author(s): Chao Yuan; David P. Casasent; 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 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. Initial recognition results using new distortion-invariant filters are presented.

Paper Details

Date Published: 27 August 2001
PDF: 10 pages
Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438222
Show Author Affiliations
Chao Yuan, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)
Satoshi Ashizawa, Mitsubishi Electric Corp. (Japan)

Published in SPIE Proceedings Vol. 4382:
Algorithms for Synthetic Aperture Radar Imagery VIII
Edmund G. Zelnio, Editor(s)

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