Recognizing occluded objects in SAR images

被引：21

作者：

Jones, G ^{[1
]}

Bhanu, B ^{[1
]}

机构：

[1] Univ Calif Riverside, Ctr Res Intelligent Syst, Riverside, CA 92521 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2001年 / 37卷 / 01期

关键词：

D O I：

10.1109/7.913694

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Recognizing occluded vehicle targets in synthetic aperture radar (SAR) images is addressed. Recognition algorithms, based on local features, are presented that successfully recognize highly occluded objects in both XPATCH synthetic SAR signatures and real SAR images of actual vehicles from the MSTAR data. Extensive experimental results are presented for a basic recognition algorithm, using SAR scattering center relative locations as features with the XPATCH data and for an improved.

引用

页码：316 / 328

页数：13

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