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Dec, 2018
从卫星图像到灾难洞察
From Satellite Imagery to Disaster Insights
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Jigar Doshi, Saikat Basu, Guan Pang
TL;DR
本研究提出了一种卷积神经网络的框架来进行基于卫星图像的变化检测,通过阈值化和划分网格来找到灾害影响最严重的区域,并使用新的灾害影响指数(DII)来衡量自然灾害的影响。在应用于飓风哈维和圣塔罗莎大火数据集时,框架的F1分数分别为81.2%和83.5%。
Abstract
The use of
satellite imagery
has become increasingly popular for
disaster monitoring
and response. After a disaster, it is important to prioritize rescue operations, disaster response and coordinate relief effort
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