Identification of Ground Fissure Development in a Semi-Desert Aeolian Sand Area Induced from Coal Mining: Utilizing UAV Images and Deep Learning Techniques

Identification of Ground Fissure Development in a Semi-Desert Aeolian Sand Area Induced from Coal Mining: Utilizing UAV Images and Deep Learning Techniques

The occurrence of surface strata movement in underground coal mining leads to the generation of numerous ground fissures, which not only damage the ecological environment but also disrupt building facilities, lead to airflow and easily trigger coal spontaneous combustion, induce geological disasters...

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Bibliographic Details
Main Authors: Tao Tao, Keming Han, Xin Yao, Ximing Chen, Zuoqi Wu, Chuangchuang Yao, Xuwen Tian, Zhenkai Zhou, Kaiyu Ren
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
mining strata movement law
mining ground fissure
UAVs
automatic identification
Shenfu coalfield
Online Access:https://www.mdpi.com/2072-4292/16/6/1046

Internet

https://www.mdpi.com/2072-4292/16/6/1046

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