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Proceedings Paper

Classification and rejection of MSTAR data
Author(s): Lakshmi D. Ramamoorthy; David P. Casasent
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Paper Abstract

Classification and rejection tests were performed on the 10-class MSTAR database. To compare our performance, we first summarize relevant prior work. Shift-invariant magnitude Fourier transform (FT) features were used in the feature space trajectory (FST) classifier to classify the 10-class MSTAR data with variants and to reject confuser images and clutter chips. No prior work has addressed this. Implication of various SAR preprocessing on performance is addressed. In confuser rejection, 2 standard confusers (used in prior work) and 2 new confusers are addressed. We are the first to extend confuser rejection tests to 8 target classification with variants and 2 confuser rejection. Finally, clutter rejection while classifying the 10 targets is addressed.

Paper Details

Date Published: 12 April 2004
PDF: 12 pages
Proc. SPIE 5437, Optical Pattern Recognition XV, (12 April 2004); doi: 10.1117/12.548072
Show Author Affiliations
Lakshmi D. Ramamoorthy, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 5437:
Optical Pattern Recognition XV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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