RADAR TARGET IDENTIFICATION USING SPATIAL MATCHED-FILTERS

被引：42

作者：

NOVAK, LM ^{[1
]}

OWIRKA, GJ ^{[1
]}

NETISHEN, CM ^{[1
]}

机构：

[1] MIT,LINCOLN LAB,SURVEILLANCE SYST GRP,LEXINGTON,MA 02173

来源：

PATTERN RECOGNITION | 1994年 / 27卷 / 04期

关键词：

RADAR TARGET IDENTIFICATION; AUTOMATIC TARGET RECOGNITION; PATTERN-MATCHING CLASSIFIER; TEMPLATE MATCHING CLASSIFIER; CORRELATION CLASSIFIER; SYNTHETIC APERTURE RADAR;

D O I：

10.1016/0031-3203(94)90040-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The application of spatial matched filter classifiers to the synthetic aperture radar (SAR) automatic target recognition (ATR) problem is being investigated at MIT Lincoln Laboratory. Initial studies investigating the use of several different spatial matched filter classifiers in the framework of a 2D SAR ATR system are summarized. In particular, a new application is presented of a shift-invariant, spatial frequency domain, 2D pattern-matching classifier to SAR data. Also, the performance of this classifier is compared with three other classifiers: the synthetic discriminant function, the miniMum average correlation energy filter, and the quadratic distance correlation classifier.

引用

页码：607 / 617

页数：11

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