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Post-Disaster Building Damage Assessment: Multi-Class Object Detection vs. Object Localization and Classification
DOI:10.3390/rs17243957.png)
摘要
En
Keyword:
disaster damage assessment
building damage assessment
remote sensing
deep learning
object localization
object detection
object classification
Africa-specific applications
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期刊
IF:
4.1
论文数:
7.7K
被引数:
15.1W
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引用论文
A review on synthetic aperture radar-based building damage assessment in disasters基于合成孔径雷达的建筑物灾害损失评估研究综述
BDANet: Multiscale Convolutional Neural Network With Cross-Directional Attention for Building Damage Assessment From Satellite ImagesBDANet: 具有横向注意力的多尺度卷积神经网络,用于从卫星图像进行建筑物损坏评估
Advances in Rapid Damage Identification Methods for Post-Disaster Regional Buildings Based on Remote Sensing Images: A Survey
BUILDINGS
IF3.1
Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images基于静止图像的卷积神经网络对砌体历史结构的损伤分类

