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Proceedings Paper

Comparison of classification approaches for high-range resolution radar
Author(s): Clayton V. Stewart; Victor J. Larson; James Doss Halsey
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Paper Abstract

A radar scattering model was used to provide targets for a classification study of high range resolution radar signatures. Intrinsic dimensionality of these signatures was calculated using kth nearest neighbor information. Two classifier paradigms were implemented, a Gaussian classifier and a synthetic discriminant function classifier. The Gaussian correlation classifier was more robust in the presence of white Gaussian noise while the SDF approach was more robust for large angle bin size.

Paper Details

Date Published: 16 September 1992
PDF: 10 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138264
Show Author Affiliations
Clayton V. Stewart, George Mason Univ. (United States)
Victor J. Larson, George Mason Univ. (United States)
James Doss Halsey, W. J. Schafer Associates, Inc. (United States)

Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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