An efficient multi-target SAR ATR algorithm

Author

Novak, Leslie M. ; Owirka, Gregory J. ; Brower, William S.

Author_Institution

Lincoln Lab., MIT, Cambridge, MA, USA

Volume

1

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

3

Abstract

The MIT Lincoln Laboratory has developed the ATR (automatic target recognition) system for the DARPA-sponsored SAIP program; the baseline ATR system recognizes 10 GOB (ground order of battle) targets; the enhanced version of SAIP requires the ATR system to recognize 20 GOB targets. This paper compares ATR performance results for 10- and 20-target MSE (mean-squared error) classifiers using medium-resolution SAR (synthetic aperture radar) imagery.

Keywords

image classification; image resolution; mean square error methods; military radar; radar imaging; radar resolution; radar target recognition; radar tracking; synthetic aperture radar; target tracking; ATR performance results; ATR system; DARPA-sponsored SAIP program; GOB targets; MIT Lincoln Laboratory; MSE classifiers; automatic target recognition; efficient multi-target SAR ATR algorithm; ground order of battle targets; mean-squared error; medium-resolution SAR imagery; synthetic aperture radar; Classification algorithms; Clutter; Image databases; Image resolution; Image sensors; Laboratories; Sensor systems; Spatial resolution; Synthetic aperture radar; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.750815

Filename

750815