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Large deformation monitoring over a coal mining region using pixel-tracking method with high-resolution Radarsat-2 imagery

机译:使用高分辨率Radarsat-2图像的像素跟踪方法监测煤矿区域的大变形

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摘要

Differential synthetic aperture radar interferometry (D-InSAR) is limited when exploited in high-intensity mining areas, because large deformation gradients lie beyond the maximum measurable value of the D-InSAR technique which breaks the prerequisite for successfully employing of the method. The SAR amplitude-based pixel-tracking method provides an alternative way to efficiently and robustly extract the large deformation distribution particularly when the D-InSAR technique is limited by loss of coherence. In addition, the deformation in the line-of-sight direction and the deformation along the azimuth direction are also presented in this paper with 24-day interval repeat-pass high-resolution Rardarsat-2 imagery. Combining both of these techniques can help to better understand the deformation mechanisms associated with underground mining activities. The accuracies of 0.12m in slant-range direction and 0.19m in the azimuth direction were achieved, respectively. Besides, the profiles across the maximum deformation region have verified that the deformation occurred during two acquisition periods is far beyond the theoretical maximum deformation gradient corresponding to high-resolution C-band SAR data. The obtained surface motion infers to the mining activities and assessed damage caused by the large deformation.
机译:在高强度矿区中使用时,差分合成孔径雷达干涉测量法(D-InSAR)受限制,因为大的变形梯度超出了D-InSAR技术的最大可测量值,这打破了成功采用该方法的前提。基于SAR幅度的像素跟踪方法提供了一种替代方法,可以有效而稳健地提取大的变形分布,尤其是在D-InSAR技术受到相干性损失限制的情况下。此外,本文还使用24天间隔重复通过高分辨率Rardarsat-2图像介绍了视线方向上的变形和沿方位角方向上的变形。将这两种技术结合起来可以帮助更好地理解与地下采矿活动相关的变形机制。倾斜范围方向的精度分别为0.12m,方位角方向的精度为0.19m。此外,最大变形区域上的剖面图已经证明,在两个采集周期内发生的变形远远超出了对应于高分辨率C波段SAR数据的理论最大变形梯度。所获得的地表运动推断了开采活动并评估了由于大变形引起的破坏。

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  • 来源
    《Remote sensing letters》 |2016年第3期|219-228|共10页
  • 作者单位

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Jiangsu Key Lab Resources & Environm Engn, Xuzhou, Jiangsu, Peoples R China;

    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China;

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Jiangsu Key Lab Resources & Environm Engn, Xuzhou, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Jiangsu Key Lab Resources & Environm Engn, Xuzhou, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Jiangsu Key Lab Resources & Environm Engn, Xuzhou, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Jiangsu Key Lab Resources & Environm Engn, Xuzhou, Jiangsu, Peoples R China;

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