Japan was hit by typhoon Hagibis, which came with torrential rains submerging almost eight-thousand buildings. For fast alleviation of and recovery from flood damage, a quick, broad, and accurate assessment of the damage situation is required. Image analysis provides a much more feasible alternative than on-site sensors due to their installation and maintenance costs. Nevertheless, most state-of-art research relies on only ground-level images that are inevitably limited in their field of vision. This paper presents a water level detection system based on aerial drone-based image recognition.
Published Papers
- 西村, 侑花子, & リズク,ハマダ,山口,弘純,東野,輝夫. (2020). ドローンを用いた洪水災害時の水没度検出手法. マルチメディア, 分散協調とモバイルシンポジウム 2028 論文集, 2020, 47-55.
- Hamada Rizk, YukakNishimura, Hirozumi Yamaguchi, Teruo Higashino, "Drone-based Water Level Detection in Flood Disasters", International Journal of Environmental Research and Public Health (Q2)
