1 May 2017 Probabilistic SVM for open set automatic target recognition on high range resolution radar data
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Abstract
The Eigen-Template (ET) based closed-set feature extraction approach is extended to an open-set HRR-ATR framework to develop an Open Set Probabilistic Support Vector Machine (OSP-SVM) classifier. The proposed ET-OSP-SVM is shown to perform open set ATR on HRR data with 80% PCC for a 4-class MSTAR dataset.
Conference Presentation
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Jason D. Roos, Jason D. Roos, Arnab K. Shaw, Arnab K. Shaw, } "Probabilistic SVM for open set automatic target recognition on high range resolution radar data", Proc. SPIE 10202, Automatic Target Recognition XXVII, 102020B (1 May 2017); doi: 10.1117/12.2262840; https://doi.org/10.1117/12.2262840
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