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Superresolution HRR ATR with high definition vector imaging

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5 Author(s)
D. Nguyen ; Lincoln Lab., MIT, Lexington, MA, USA ; G. Benitz ; J. Kay ; B. Orchard
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A new 1-D template-based automatic target recognition (ATR) algorithm is developed and tested on high range resolution (HRR) profiles formed from synthetic aperture radar (SAR) images of targets taken from the Moving and Stationary Target Acquisition and Recognition (MSTAR) data set. In this work, a superresolution technique known as High Definition Vector Imaging (HDVI) is applied to the HRR profiles before the profiles are passed through ATR classification. The new I-D ATR system using HDVI demonstrates significantly improved target recognition compared with previous I-D ATR systems that use conventional image processing techniques. This improvement in target recognition is quantified by improvement in probability of correct classification (PCC). More importantly, the application of HDVI to HRR profiles helps to maintain the same ATR performance with reduced radar resource requirements

Published in:

IEEE Transactions on Aerospace and Electronic Systems  (Volume:37 ,  Issue: 4 )