Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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Outline of Final Research Achievements |
We developed a method of semi-supervised classification for remotely sensed multispectral images to improve the accuracy of classification. The method includes expansion of training data based on clustering, classification considering the variation of spectral characteristics according to the location in the image, and classification considering the characteristics of spatial distribution of each category of objects in the image. We confirmed the validity of the method using remotely sensed data observed from satellites.
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