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MONITORING OF SURFACE SUBSIDENCE OF THE MINING AREA BASED ON SBAS

机译:基于SBA的矿区地表沉降监测

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摘要

This paper has collected 7 scenes of L band PALSAR sensor radar data of a mine in FengCheng city, jiangxi province, using the Small-baseline Subset (SBAS) method to invert the surface subsidence of the mine. Baselines of interference less than 800m has been chosen to constitute short baseline differential interference atlas, using pixels whose average coherent coefficient was larger than or equal to 0.3 as like high coherent point target, using singular value decomposition (SVD) method to calculate deformation phase sequence based on these high coherent points, and the accumulation of settlements of study area of different period had been obtained, so as to reflect the ground surface settlement evolution of the settlement of the area. The results of the study has showed that: SBAS technology has overcome coherent problem of the traditionality D-InSAR technique, continuous deformation field of surface mining in time dimension of time could been obtained, characteristics of ground surface settlement of mining subsidence in different period has been displayed, so to improve the accuracy and reliability of the monitoring results.
机译:本文收集了江西省丰城市的一座LINE的L带Palsar传感器雷达数据的7个场景,使用小基线子集(SBAS)方法反转矿井的表面沉降。已经选择了小于800m的干扰的基线,以构成短基线差异干扰图集,使用平均相干系数大于或等于0.3的像素,其使用奇异值分解(SVD)方法来计算变形相位序列基于这些高相干点,获得了不同时期的研究区沉降的积累,以反映该地区沉降的地表沉降演化。该研究的结果表明:SBAS技术已经克服了传统性D-Insar技术的相干问题,可以获得连续变形的表面采矿领域,可以获得时间尺寸的时间尺寸,不同时期采矿沉降地面沉降的特点已显示,从而提高监控结果的准确性和可靠性。

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