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

Volume

37

Issue

4

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1267

Lastpage

1286

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;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.976964

Filename

976964