Classifier performance using enhanced resolution SAR data

被引：0

作者：

Novak, LM ^{[1
]}

Benitz, GR ^{[1
]}

Owirka, GJ ^{[1
]}

Popielarz, JD ^{[1
]}

机构：

[1] MIT, Lincoln Lab, Cambridge, MA 02139 USA

来源：

RADAR 97 | 1997年 / 449期

关键词：

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In support of the DARPA/DARO-sponsored SAIP program [1], MlT Lincoln Laboratory has developed a new, state-of-the-art ATR (automatic target recognition) system that provides significantly improved target recognition performance compared with ATR systems that use conventional synthetic aperture radar (SAR) image processing techniques. This significant improvement is achieved by using a new superresolution image processing technique that enhances SAR image resolution (and image quality) prior to performing target recognition; a template-based classifier is then used to perform target recognition. This paper quantifies the improvement in target recognition performance achieved using superresolution image processing in the ATR system.

引用

页码：634 / 638

页数：5

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