1 May 2017 Probabilistic SVM for open set automatic target recognition on high range resolution radar data
Author Affiliations +
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
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason D. Roos, 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
PROCEEDINGS
14 PAGES + PRESENTATION

SHARE
RELATED CONTENT


Back to Top