A Precision Efficient Method for Collapsed Building Detection in Post-Earthquake UAV Images Based on the Improved NMS Algorithm and Faster R-CNN

A Precision Efficient Method for Collapsed Building Detection in Post-Earthquake UAV Images Based on the Improved NMS Algorithm and Faster R-CNN

The results of collapsed building detection act as an important reference for damage assessment after an earthquake, which is crucial for governments in order to efficiently determine the affected area and execute emergency rescue. For this task, unmanned aerial vehicle (UAV) images are often used a...

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Bibliographic Details
Main Authors: Jiujie Ding, Jiahuan Zhang, Zongqian Zhan, Xiaofang Tang, Xin Wang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
collapsed buildings detection
UAV images
deformable convolution
NMS
Faster R-CNN
intersected proportion of objects (IPO)
Online Access:https://www.mdpi.com/2072-4292/14/3/663

Internet

https://www.mdpi.com/2072-4292/14/3/663

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