Synthetic aperture radar detection, recognition, and clutter rejection with new minimum noise and correlation energy filters

被引：37

作者：

Casasent, D

Ashizawa, S

机构：

[1] Carnegie Mellon University, Dept. of Elec. and Comp. Engineering, Lab. Excellence Optical Data Proc., Pittsburgh

[2] Mitsubishi Electric Corporation, Communication Equipment Works, Amagasaki, Hyougo

[3] Carnegie Mellon University, Pittsburgh, PA

[4] Dept. of Elec. and Comp. Engineering, Lab. for Optical Data Processing

[5] Radar Electron. Intell. Syst. Dept., Mitsubishi Electric Corporation

[6] Keio University, Yokohama, Kanagawa

来源：

OPTICAL ENGINEERING | 1997年 / 36卷 / 10期

关键词：

correlation pattern recognition; automatic target recognition; classification; clutter rejection; detection; distortion-invariant filters; minimum noise and correlation energy filters; synthetic aperture radar;

D O I：

10.1117/1.601466

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

New variations of minimum noise and correlation energy (MINACE) filters are considered for detection and recognition of objects and rejection of clutter in synthetic aperture radar (SAR) data. We present initial very attractive results that aid different modules in an SAR automatic target recognition (ATR) processor. For four class test set data, we show detection performance of P-D>99.8% with P-FA congruent to 0.026/km(2); for classification we show P-C>96.6% with P-FA congruent to 0.026/km(2). Selected tests with noise and obscurations present and of several objects in large real SAR background are also included. All results used full shift-invariance tests. (C) 1997 Society of Photo-Optical Instrumentation Engineers.

引用

页码：2729 / 2736

页数：8

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