监测采矿区的表面变形,并集成SBAS InSAR和物流功能
Fengyun Wang1,2, Qiuxiang Tao3,4, Guolin Liu1,2
1College of Geodesy and Geomatics, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao, 266590, NO, China.
Environmental monitoring and assessment
|November 18, 2023
概括
这项研究通过将小型基线子集交叉测量合成孔径雷达 (SBAS InSAR) 与物流功能相结合,提高了采矿表面变形监测的准确性. 新模型显著提高了精度,为采矿区提供了更可靠的变形数据.
科学领域:
- 地质测量是指地质测量.
- 遥感 遥感 遥感 遥感
- 采矿工程 采矿工程 采矿工程
背景情况:
- 小基线子集交叉测量合成孔径雷达 (SBAS InSAR) 广泛用于监测采矿表面变形.
- 现有的SBAS InSAR方法在变形监测中经常产生不满意的准确性.
- 精确监测采矿引起的表面变形对于安全和环境管理至关重要.
研究的目的:
- 提出和验证一个新的修正模型,以提高SBAS基于InSAR的采矿表面变形监测的准确性.
- 将SBAS InSAR与后勤功能集成,以改进时间序列变形分析.
- 提供一种更精确的方法来评估采矿地区的表面变形.
主要方法:
- 使用SBAS InSAR.SAR获得时间序列变形数据.
- 对SBAS InSAR和平面变形测量之间的差异进行了统计分析.
- 使用逻辑线性回归开发了一个更正的模型,并使用Levenberg-Marquardt算法解决.
主要成果:
- 后勤函数准确地描述了变形差异的变化.
- 修正后的模型显著超过了标准的SBAS InSAR结果.
- 纠正结果的根平均平方误差 (RMSE) 显示了33-58%的改善.
结论:
- 拟议的修正模型有效地提高了SBAS InSAR用于采矿表面变形监测的准确性.
- 与物流函数的集成提供了一个强大的方法来改进变形测量.
- 经过验证的方法为采矿区的地质监测提供了显著的精度提升.
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