Title :
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
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;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750815