HIGHLIGHTS
- who: Jinglin Xu et al. from the Graduate School of Science and Engineering, Chiba University, Chiba, Japan have published the article: Damage Detection and Level Classification of Roof Damage after Typhoon Faxai Based on Aerial Photos and Deep Learning, in the Journal: (JOURNAL) of 13/Nov/2019
- what: According to the characteristics of roof damage after a typhoon in Japan, this study provides a solution for the rapid detection of roof damage after a typhoon. This study compared the detection results using the model in 3 with those obtained fromfrom the field investigation after typhoon . . .
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