Composite filters for ISAR ship classification

Chao Yuan; David P. Casasent; Satoshi Ashizawa

doi:10.1117/12.438222

27 August 2001 Composite filters for ISAR ship classification

Chao Yuan, David P. Casasent, Satoshi Ashizawa

Proceedings Volume 4382, Algorithms for Synthetic Aperture Radar Imagery VIII; (2001) https://doi.org/10.1117/12.438222
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 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.

Citation Download Citation

Chao Yuan, David P. Casasent, and Satoshi Ashizawa "Composite filters for ISAR ship classification", Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); https://doi.org/10.1117/12.438222

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