侯恩科, 张杰, 谢晓深, 徐友宁. 2019: 无人机遥感与卫星遥感在采煤地表裂缝识别中的对比. 地质通报, 38(2-3): 443-448.
    引用本文: 侯恩科, 张杰, 谢晓深, 徐友宁. 2019: 无人机遥感与卫星遥感在采煤地表裂缝识别中的对比. 地质通报, 38(2-3): 443-448.
    HOU Enke, ZHANG Jie, XIE Xiaoshen, XU Youning. 2019: Contrast application of unmanned aerial vehicle remote sensing and satellite remote sensing technology relating to ground surface cracks recognition in coal mining area. Geological Bulletin of China, 38(2-3): 443-448.
    Citation: HOU Enke, ZHANG Jie, XIE Xiaoshen, XU Youning. 2019: Contrast application of unmanned aerial vehicle remote sensing and satellite remote sensing technology relating to ground surface cracks recognition in coal mining area. Geological Bulletin of China, 38(2-3): 443-448.

    无人机遥感与卫星遥感在采煤地表裂缝识别中的对比

    Contrast application of unmanned aerial vehicle remote sensing and satellite remote sensing technology relating to ground surface cracks recognition in coal mining area

    • 摘要: 采煤诱发地表裂缝是地面塌陷最直观的表现形式之一,也是造成煤矿区环境恶化的主要因素。准确掌握地表裂缝的展布规律是煤矿区地面塌陷治理的基础。以宁夏金凤煤矿011805工作面为研究对象,对比分析卫星遥感影像与无人机遥感影像在地表裂缝调查、解译识别中的优缺点,总结工作面地表裂缝发育规律。研究表明,无人机航拍影像中裂缝整体视觉清晰,可充分反映出宽度大于5cm的地表裂缝的形态、长度、位置等发育特征,且解译出的地表裂缝发育规律更接近实际;无人机遥感不仅提高了煤矿区地表裂缝调查的精度和可靠性,也为地表裂缝各项研究提供了丰富的基础数据。

       

      Abstract: The surface cracks induced by coal mining constitute one of the most intuitive manifestations of ground collapse and also the main factor causing the environmental deterioration in the coal mine. Thus accurately grasping the distribution law of surface cracks is the basis for the treatment of ground subsidence in the coal mine. In this paper, satellite remote sensing and unmanned aerial vehicle remote sensing technology were used to investigate the distribution of surface cracks of the 011805 working face which was selected as the research area. Research shows that in the aerial images of UAVs, the overall vision of ground cracks is clear, which can fully reflect the development characteristics including the shape, length, and location of ground cracks with a width greater than 5cm. and the interpretation results of the ground cracks are closest to reality. UAV remote sensing not only improves the accuracy and reliability of the surface crack investigation in the coal mining area but also provides abundant basic data for the study of the surface cracks.

       

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