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针对差分合成孔径雷达干涉测量(D-InSAR)技术无法正确获取矿区地表大沉降量的问题,提出D-InSAR及概率积分法联合获取矿区沉降量的新方法。具体过程为:由D-InSAR技术得到下沉盆地,选取盆地边缘相干系数较大而下沉量较小的点,再加入最大下沉点和拐点附近的少量实测点作为解算控制点;然后采用遗传算法对概率积分法参数不断进行优化;最后,由解算的最优参数反算地表下沉盆地。实例表明,该方法能够在减少地面监测点数量的情况下获取较为准确的地表沉降场,最大下沉的相对误差为8.3%,优于D-InSAR的监测结果(相对误差约68.0%)。
Aiming at the problem that the differential synthetic aperture radar interferometry (D-InSAR) technology can not get the large settlement of the ground in the mining area, a new method of combining the D-InSAR and the probability integral method to obtain the settlement of the mining area is proposed. The specific process is as follows: the D-InSAR technique is used to obtain the subsidence basin, and the point where the coherence coefficient of the basin edge is larger and the subsidence amount is smaller is selected, and then the maximum sinking point and a few measured points near the inflection point are added as the solution control points; The genetic algorithm is used to optimize the parameters of probability integration method. Finally, the surface subsidence basin is inversely solved by the optimal parameters. The experimental results show that this method can obtain a more accurate surface subsidence field with a smaller number of ground monitoring points. The maximum relative error of the maximum subsidence is 8.3%, which is better than the D-InSAR monitoring result (the relative error is about 68.0%).