BriefGPT.xyz
Jun, 2018
社交媒体图像的损伤定位与量化
Localizing and Quantifying Damage in Social Media Images
HTML
PDF
Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran
TL;DR
本文提出了一种基于卷积神经网络和类别激活映射的新方法，用于在社交媒体图像中定位灾害损失并量化其程度，从而提供一种相对于昂贵的地理信息系统方法更为经济有效的、基于社交网络图像的灾后损失评估方案。
Abstract
Traditional
post-disaster assessment
of damage heavily relies on expensive GIS data, especially remote sensing image data. In recent years,
social media
has become a rich source of disaster information that may b
→