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无人机遥感技术在采煤地面塌陷监测中的应用

侯恩科 首召贵 徐友宁 杨帆 何芳 谢晓深 高冠杰

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. doi: 10.3969/j.issn.1001-1986.2017.06.017
引用本文: 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. doi: 10.3969/j.issn.1001-1986.2017.06.017
HOU Enke, SHOU Zhaogui, XU Youning, YANG Fan, HE Fang, XIE Xiaoshen, GAO Guanjie. Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(6): 102-110. doi: 10.3969/j.issn.1001-1986.2017.06.017
Citation: HOU Enke, SHOU Zhaogui, XU Youning, YANG Fan, HE Fang, XIE Xiaoshen, GAO Guanjie. Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(6): 102-110. 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

doi: 10.3969/j.issn.1001-1986.2017.06.017
基金项目: 

国家自然科学基金项目(41472234);中国地质调查局项目(121201011000150022)

详细信息
    第一作者:

    侯恩科(1963-),男,陕西扶风人,教授,博士生导师,从事煤炭地质和地质灾害防治方面的教学与科研工作.E-mail:553386985@qq.com

  • 中图分类号: P694

Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence

Funds: 

National Natural Science Foundation of China (41472234)

  • 摘要: 为研究无人机遥感技术在采煤地面塌陷监测中的应用,以宁东煤炭基地金凤煤矿011805综采工作面为例,探讨了利用无人机遥感技术进行地表裂缝解译、地面沉降量计算和地面塌陷规律研究的方法。结果表明:无人机飞行航高可根据需要识别的地表裂缝宽度确定,地形平坦地区识别2 cm地表裂缝的飞行航高一般应不超过143 m;地表裂缝宜于采用基于光谱、延长度和紧密度规则的面向对象的信息提取方法进行自动识别,在采用这种方法发现地表塌陷裂缝时宜采用基于边缘检测的图像分割模型和基于Full Lambda Schedule的图像融合模型;对无人机遥感地表高程值进行拟合校正可近似获得采煤工作面地表下沉量和下沉系数,说明无人机遥感技术可应用于采煤地面沉降量监测;综采工作面内地表裂缝数量多,总体垂直回采方向排列,切眼和顺槽附近地表裂缝数量少,总体平行顺槽和切眼展布。

     

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出版历程
  • 收稿日期:  2017-03-16
  • 发布日期:  2017-12-25

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