煤田地质与勘探2017，Vol.45Issue(6)：102-110,9.DOI:10.3969/j.issn.1001-1986.2017.06.017
无人机遥感技术在采煤地面塌陷监测中的应用
Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence
摘要
Abstract
In order to study the application of UAV remote sensing technology in monitoring of coal mining-induced subsidence,taking fully-mechanized coal mining face 011805 in Jinfeng coal mine as an example,the method of the interpretation of surface cracks,the calculation of ground settlement and the rule of surface subsidence are discussed in this paper.The results show that the flight height of UAV can be determined according to the need to identify the width of surface cracks,and for identification width of surface cracks of 2 cm in general the flight height should not exceed 143 m in the flat area.The method based on the rules of spectrum,elongation and compactness is suitable for extracting surface cracks automatically,and the image segmentation model based on edge detection and the image fusion model based on Full Lambda Schedule should be adopted when using this method to identify surface cracks.Surface subsidence and subsidence coefficient can be obtained through fitting and correcting the remote sensing elevation value of UAV,which shows that the remote sensing technology can be used to monitor coal mining-induced surface subsidence.The number of surface cracks in the fully-mechanized coal mining face is large,and they are vertical in the direction of extraction roughly;while the number of surface cracks near the face opening and crossheading is small,and they are parallel to the face opening and crossheading roughly.关键词
无人机遥感技术/地面塌陷/地表裂缝/地质灾害监测/煤炭开采Key words
UAV remote sensing technology/surface collapse/surface cracks/geological hazard monitoring/coal mining分类
天文与地球科学引用本文复制引用
侯恩科,首召贵,徐友宁,杨帆,何芳,谢晓深,高冠杰..无人机遥感技术在采煤地面塌陷监测中的应用[J].煤田地质与勘探,2017,45(6):102-110,9.基金项目
国家自然科学基金项目(41472234) （41472234）
中国地质调查局项目(121201011000150022)National Natural Science Foundation of China (41472234) （121201011000150022）
Program of China Geological Survey (121201011000150022) （121201011000150022）
