Automatic ship identification in ISAR imagery: An on-line system using CMSM

被引：8

作者：

Maki, A ^{[1
]}

Fukui, K ^{[1
]}

Kawawada, Y ^{[1
]}

Kiya, M ^{[1
]}

机构：

[1] Toshiba Co Ltd, Ctr Corp Res & Dev, Kawasaki, Kanagawa 2128582, Japan

来源：

PROCEEDINGS OF THE 2002 IEEE RADAR CONFERENCE | 2002年

关键词：

D O I：

10.1109/NRC.2002.999720

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

We have developed an on-line system which automatically identifies ships observed in a rapidly updating sequence of range-Doppler images produced by inverse synthetic aperture radar (ISAR). In the system, in order to cope with the invariable noise due to the physics of imaging, we propose to employ a multiframe image processing algorithm which stably extracts profiling as a basic feature reflecting the entire characteristics of a target. For ship identification, representing the extracted profiles as high,dimensional vectors, we adapt the vector analysis using the recently proposed Constrained Mutual Subspace Method (CMSM). The system currently works on an ordinary PC at 5 [frames/sec] and achieves feasible performance of identification. The system is verified using simulated data.

引用

页码：206 / 211

页数：6

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