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本文收集了7景江西省丰城市某煤矿的日本L波段PALSAR卫星雷达数据,采用雷达干涉测量技术中的小基线集(SBAS)方法监测该煤矿的地表沉降。处理过程中选择空间基线小于700m的短基线干涉像对生成矿区差分干涉图,高相干点目标的选择以平均相干系数大于且等于0.3的像元为对象,通过高相干点采用奇异值分解法对相位形变序列解算,得到该煤矿不同时间段的沉降量,从而反映该矿区的地表沉降演变情况。通过实验结果得出:SBAS技术克服了传统D-InSAR技术失相干的问题,能够获取矿区地表在时间维上的连续形变场,显示矿区开采沉陷不同时间段的地表沉降特征,提高监测结果的精度和可靠性。
In this paper, we collect data of Japan L-band PALSAR satellite radar from a coal mine in Fengcheng City, Jiangxi Province, and monitor the surface subsidence of the coal mine by using a small baseline set (SBAS) method in radar interferometry. In the process of processing, a short baseline interferometric image with a baseline of less than 700m is selected to generate the minefield interferogram. The target of high coherence point is selected by pixels with average coherence coefficient greater than or equal to 0.3 and singular value decomposition Phase deformation sequence solution, get the settlement of the coal mine in different time periods, thus reflecting the evolution of surface mining subsidence. The experimental results show that SBAS overcomes the problem of out-of-phase coherence by the traditional D-InSAR technique, and can obtain the continuous deformation field of the mining surface in terms of time dimension, reveal the surface subsidence characteristics of mining subsidence in different time periods and improve the accuracy of monitoring results And reliability.