Performance of 10-and 20-target MSE classifiers

被引：91

作者：

Novak, LM ^{[1
]}

Owirka, GJ ^{[1
]}

Brower, WS ^{[1
]}

机构：

[1] MIT, Lincoln Lab, Lexington, MA 02420 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2000年 / 36卷 / 04期

关键词：

Error detection - Performance - Radar imaging - Synthetic aperture radar;

D O I：

10.1109/7.892675

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

MIT Lincoln Laboratory is responsible for developing 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 presents ATR performance results for 10- and 20-target mean square error (MSE) classifiers using high-resolution SAR (synthetic aperture radar) imagery.

引用

页码：1279 / 1289

页数：11