2013 Fiscal Year Final Research Report
Recovery of satellite data and knowledge discovery by discrete optimization and time series analysis
| Project/Area Number |
22650029
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | National Graduate Institute for Policy Studies |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
池上 敦子 成蹊大学, 理工学部, 教授 (90146936)
上野 玄太 統計数理研究所, 准教授 (40370093)
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| Project Period (FY) |
2010-04-01 – 2013-03-31
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| Keywords | 人工衛星 / データ解析 / 最適化 / 統計 / データ復元 / 事前情報 |
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| Research Abstract |
Geotail is a satellite to observe plasma of the magnetsphere of the earth. The distribution of observed low energy plasma particles are summarized as a three dimensional histogram before sent to the ground. Researchers conduct analysis based on a color chart called ET-spectrogram drawn from the three-dimensional histogram. However, a complete three dimensional histogram data are sent only eight hours per day, and for remaining period a marginalized two-dimensional histogram and ten statistics of the original data are sent to the ground. In this research, we made an attempt to recover the original three dimensional histogram from the compressed two dimensional histogram and 10 statistics to draw an ET-spectrogram. We developed a LP model which incorporates with appropriate prior information to recover the original three dimensional histogram and ET-spectrogram successfully.
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