Bistatic SAR ATR using PCA-based features

A. K. Mishra; B. Mulgrew

doi:10.1117/12.664117

18 May 2006 Bistatic SAR ATR using PCA-based features

A. K. Mishra, B. Mulgrew

Proceedings Volume 6234, Automatic Target Recognition XVI; 62340U (2006) https://doi.org/10.1117/12.664117
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

A. K. Mishra and B. Mulgrew "Bistatic SAR ATR using PCA-based features", Proc. SPIE 6234, Automatic Target Recognition XVI, 62340U (18 May 2006); https://doi.org/10.1117/12.664117

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