@inproceedings{1dccd9125f3c4600a1b1acbfe6a9bff7,
title = "Bistatic SAR ATR using PCA-based features",
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.",
keywords = "Bistatic airborne radar, PCA, Target recognition",
author = "Mishra, {A. K.} and B. Mulgrew",
year = "2006",
month = may,
day = "18",
doi = "10.1117/12.664117",
language = "English",
isbn = "081946290X",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "244--252",
booktitle = "Automatic Target Recognition XVI",
address = "United States of America",
note = "Automatic Target Recognition XVI ; Conference date: 18-04-2006 Through 19-04-2006",
}