Presentation | 2000/2/25 Performance evaluation of super resolution SAR image reconstruction Takeshi HORIUCHI, Takahiko FUJISAKA, Akira ONO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Super resolution algorithms are available for the range compression of the SAR image processing to improve the range resolution. In this paper, we apply super resolution MUSIC and RRMVM to the SAR image reconstruction of the field data measured by the airborne SAR radar, and evaluate their performance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Synthetic aperture radar / Super resolution / Radar / Signal processing |
Paper # | SANE99-111,SAT99-148 |
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Committee | SAT |
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Conference Date | 2000/2/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Satellite Telecommunications (SAT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Performance evaluation of super resolution SAR image reconstruction |
Sub Title (in English) | |
Keyword(1) | Synthetic aperture radar |
Keyword(2) | Super resolution |
Keyword(3) | Radar |
Keyword(4) | Signal processing |
1st Author's Name | Takeshi HORIUCHI |
1st Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation() |
2nd Author's Name | Takahiko FUJISAKA |
2nd Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation |
3rd Author's Name | Akira ONO |
3rd Author's Affiliation | Kamakura Works, Mitsubishi Electric Corporation |
Date | 2000/2/25 |
Paper # | SANE99-111,SAT99-148 |
Volume (vol) | vol.99 |
Number (no) | 655 |
Page | pp.pp.- |
#Pages | 6 |
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