Presentation 2002/9/12
On-line Ship Identification in ISAR Image Sequence
Atsuto MAKI, Kazuhiro FUKUI, Yasuhiko KAWAWADA, Motohito KIYA,
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Abstract(in English) 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.
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Keyword(in English) ISAR / Image sequence / Profile extraction / Constrained mutual subspace method
Paper # WIT2002-13
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Committee WIT
Conference Date 2002/9/12(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On-line Ship Identification in ISAR Image Sequence
Sub Title (in English)
Keyword(1) ISAR
Keyword(2) Image sequence
Keyword(3) Profile extraction
Keyword(4) Constrained mutual subspace method
1st Author's Name Atsuto MAKI
1st Author's Affiliation TOSHIBA Corporation, Research and Development Center()
2nd Author's Name Kazuhiro FUKUI
2nd Author's Affiliation TOSHIBA Corporation, Research and Development Center
3rd Author's Name Yasuhiko KAWAWADA
3rd Author's Affiliation TOSHIBA Corporation, Social Infrastructure Systems Company
4th Author's Name Motohito KIYA
4th Author's Affiliation TOSHIBA Corporation, Social Infrastructure Systems Company
Date 2002/9/12
Paper # WIT2002-13
Volume (vol) vol.102
Number (no) 319
Page pp.pp.-
#Pages 6
Date of Issue