Development of a method to extract urban areas using satellite SAR and airborne LiDAR for the purpose of extracting districts damaged by disasters
| Project/Area Number |
24760412
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Civil engineering project/Traffic engineering
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2014: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | リモートセンシング / 合成開口レーダ / 航空機LiDAR / 3次元モデリング / 都市 / 建物 / 衛星SAR / LiDAR / 建物密度 / 被災建物 / 都市域 / 被災状況 / 衛星画像 / 合成開口レーダ(SAR) / 航空機レーザ(LiDAR) / 災害 |
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| Outline of Final Research Achievements |
In this research, we aimed to develop a method to extract urban areas using satellite SAR and airborne LiDAR for the purpose of extracting districts damaged by disasters. First, we developed a method to extract urban areas from satellite SAR images, that is robust to polarization orientation angle, and then proposed a method to estimate urban densities. Next, we developed a method to detect land cover changes by using polarimetric SAR images and optical images. Then, we proposed a method to automatically estimate urban landscape indices from airborne LiDAR data and images as by-product of three-dimensional building modeling. Finally, we developed a method to extract buildings damaged by disasters by using point clouds generated from aerial images.
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Report
(4 results)
Research Products
(54 results)
