| Budget Amount *help |
¥12,740,000 (Direct Cost: ¥9,800,000、Indirect Cost: ¥2,940,000)
Fiscal Year 2019: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2018: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2017: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2016: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
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| Outline of Final Research Achievements |
Hyperspectral sensors are the next generation of optical image sensors that observe the earth's surface at more than 100 spectral bands in the visible and shortwave infrared regions. Due to the dimension of spectral bands, the amount of data is large compared to multispectral sensors, and downlinking the data in its original form would place a heavy burden on the communication system. In order to analyze the acquired data on orbit, we focused on the sparse nature of the data, where images of neighboring spectral bands are similar. We developed two methods; one is based on a spectral information model of the ground surface and the other focuses on the statistical properties of the data. It was found that the method can be used for accurate classification of geological objects even with a reduced amount of data. In addition, a computer for on-orbit data processing and on-board processing technology of cloud detection were discussed.
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