Ship identification in sequential ISAR imagery |
| |
Authors: | Email author" target="_blank">Atsuto?MakiEmail author Kazuhiro?Fukui |
| |
Affiliation: | (1) Multimedia Laboratory, Corporate Research and Development Center, TOSHIBA Corporation, 1, Komukai Toshiba-cho, Saiwai-ku, 212-8582 Kawasaki, Japan |
| |
Abstract: | We have developed an online system that 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 that stably extracts profiling as a basic feature reflecting all 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/s and achieves feasible performance of identification. The system is verified using simulated data.Received: 22 September 2002, Accepted: 22 March 2004, Published online: 27 May 2004
Correspondence to: Atsuto Maki. Currently with the Graduate School of Informatics, Kyoto University |
| |
Keywords: | ISAR Image sequence Profile extraction Constrained mutual subspace method |
本文献已被 SpringerLink 等数据库收录! |
|