2018 Fiscal Year Final Research Report
Automated topography mapping of land and shallow water from UAV-based video by using color, parallax, and polarization.
| Project/Area Number |
16K21194
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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 |
Hydraulic engineering
Civil engineering project/Traffic engineering
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| Research Institution | Yamaguchi University |
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Principal Investigator |
Kanno Ariyo 山口大学, 大学院創成科学研究科, 准教授 (30583760)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Keywords | 水面反射 / 水面屈折 / 補正係数 / シミュレーション / 現地実験 / SfM / 谷状変形 |
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| Outline of Final Research Achievements |
In this study, I have studied a high-resolution and high-density survey technique of fluvial and coastal topography from UAV-based pictures or videos, by using in-situ experiments and CG-based simulations. One of the achievements is an imaging technique of water bottom which suppresses the sun glint and wave caustics effects to generate a clear image of water bottom. Another achievement is a correction technique of the effect of refraction of light at the water surface, which makes the apparent depth shallower than reality, and a shooting strategy to ease the correction.
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| Free Research Field |
UAV写真測量，衛星リモートセンシング
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| Academic Significance and Societal Importance of the Research Achievements |
本研究で扱ったUAV写真測量は、トータルステーションやボートを用いた従来の測量と比べて圧倒的に迅速・低コスト・高密度であり、防災上重要ながらも従来は難しかった河道地形の高頻度モニタリング、高解像度の流動解析、災害直後の地形調査、生態学・河川工学・海岸工学の研究フィールドの地形調査などの、幅広い社会的・学術的ニーズに応えるものである。発表済みの成果は既に、全国の行政機関・民間企業・研究機関などの技術者・研究者によって参考にされている。
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