| Project/Area Number |
26450367
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Agricultural environmental engineering/Agricultural information engineering
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| Research Institution | International Christian University |
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Principal Investigator |
OSAKI Keiji 国際基督教大学, 教養学部, 客員教授 (60160834)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2016: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 植生指標 / デジタルカメラ画像 / 近赤外領域 / 分光反射率 / 影領域 / 適正露光範囲 / デジタルカメラ / マルチコプター / 情報工学 / 農業環境 / リモートセンシング / 画像情報処理 / 画像計測 |
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| Outline of Final Research Achievements |
Digital cameras are indispensable devices for proximal remote sensing technology and show an excellent advantage that they can cover more extensive areas by one shot than a spectral radiometer can make a measurement of a target object in a limited scope. When we make a distribution map of "vegetation index (shows an activity of photosynthesis by chlorophyll)" estimated from the images captured by commercial digital cameras with an auto exposure function on, it is sometimes seen that the areas with anomalously high values of vegetation index appear corresponding to darkest shadow areas in visible light images.
To remove the anomalous areas, we set the minimum threshold luminance of the image and found it very effective to exclude the pixels with the luminance below this threshold value from the processing of estimation of the vegetation index. It was also revealed that the minimum threshold luminance has dependence on gamma values of the image.
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