| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Outline of Final Research Achievements |
We developed a data fusion technology to analyze multisensor optical images obtained from different Earth observation satellites to recognize the state and change of the ground surface with high resolution in spatial, temporal, and spectral domains. We developed a methodology that determines the materials and their fractional abundances at each pixel from multiple optical images obtained by different sensors. The proposed methodology is robust against the difference of sensor characteristics and observation conditions. We applied the technique to land-use and land-cover mapping, mineral mapping, and land-cover change detection, and demonstrated detailed identification of ground surface materials with high spatial and temporal resolution.
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