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Proceedings Paper

Bistatic SAR ATR using PCA-based features
Author(s): A. K. Mishra; B. Mulgrew
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Paper Abstract

Target recognition is desirable feature of any defence radar system. With the present revival of interest in bistatic and multi-static radar systems, the future radar systems are predicted to invariably have bistatic abilities. The present project aims at looking into prospects and limitations of bistatic target recognition and to develop efficient algorithm for the same. The work in this paper reports the development of a database of bistatic target signatures, and the application of principal component analysis (PCA) based classifiers on the same. Results are compared with the more basic conditional Gaussian model based Bayesian classifier.

Paper Details

Date Published: 18 May 2006
PDF: 9 pages
Proc. SPIE 6234, Automatic Target Recognition XVI, 62340U (18 May 2006); doi: 10.1117/12.664117
Show Author Affiliations
A. K. Mishra, Univ. of Edinburgh (United Kingdom)
B. Mulgrew, Univ. of Edinburgh (United Kingdom)

Published in SPIE Proceedings Vol. 6234:
Automatic Target Recognition XVI
Firooz A. Sadjadi, Editor(s)

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