TL;DR探索使用多视角图像和 AI 实现可靠的灾后建筑损伤分类方法,提出基于多视角卷积神经网络结构的损伤预测模型可以提高灾后建筑损伤等级的准确度和可靠性。
Abstract
This study aims to enable more reliable automated post-disaster building
damage classification using artificial intelligence (AI) and multi-view
imagery. The current practices and research efforts in adopting AI for
post-disaster damage assessment are generally (a) qualitative, lacking