Distortion-invariant filters for ISAR small-ship recognition

David P. Casasent; Chao Yuan; Satoshi Ashizawa

doi:10.1117/12.421127

20 March 2001 Distortion-invariant filters for ISAR small-ship recognition

David P. Casasent, Chao Yuan, Satoshi Ashizawa

Proceedings Volume 4387, Optical Pattern Recognition XII; (2001) https://doi.org/10.1117/12.421127
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

David P. Casasent, Chao Yuan, and Satoshi Ashizawa "Distortion-invariant filters for ISAR small-ship recognition", Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); https://doi.org/10.1117/12.421127

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