Title :
Superresolution HRR ATR with high definition vector imaging
Author :
Nguyen, D. ; Benitz, G. ; Kay, J. ; Orchard, B. ; Whiting, R.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
fDate :
10/1/2001 12:00:00 AM
Abstract :
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
Keywords :
image recognition; probability; radar imaging; radar target recognition; radar theory; synthetic aperture radar; MSTAR; SAR; correct classification; high definition vector imaging; high range resolution; image processing; moving and stationary target acquisition and recognition; probability; superresolution; synthetic aperture radar; target recognition; template-based automatic target recognition; Automatic testing; High-resolution imaging; Image processing; Image recognition; Image resolution; Laboratories; Radar imaging; Roads; Synthetic aperture radar; Target recognition;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on