Real-Time Damaged Building Region Detection Based on Improved YOLOv5s and Embedded System From UAV Images

Detecting the damaged building regions is vital to humanitarian assistance and disaster recovery after a disaster. Deep-learning techniques based on aerial and unmanned aerial vehicle (UAV) images have been extensively applied to the literature to detect damaged building regions, which are approved...

Full description

Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Yunlong Wang, Wenqing Feng, Kun Jiang, Qianchun Li, Ruipeng Lv, Jihui Tu
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Attention mechanism
building damage region detection
object detection
YOLOv5
Online Access:https://ieeexplore.ieee.org/document/10106405/

Internet

https://ieeexplore.ieee.org/document/10106405/

Similar Items