【摘 要】
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It is difficult for Differential Interferometric Synthetic Aperture Radar (D-InSAR) technique to obtain the subsidence of mining area correctly,in view of this problem,a new algorithm that combined D-
【机 构】
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Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of M
【出 处】
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2012国际矿山测量学术论坛(proceedings of the joint international worksh
论文部分内容阅读
It is difficult for Differential Interferometric Synthetic Aperture Radar (D-InSAR) technique to obtain the subsidence of mining area correctly,in view of this problem,a new algorithm that combined D-InSAR and probability integral method to generate the mining subsidence was proposed.The details are as follows: generating subsidencebasin by D-InSAR,choosing the points with high coherence coefficients in the basin edge,adding some observations near the maximum subsidence and inflection points as the control points,and then using Genetic Algorithm (GA) to optimize the parameters of probability integral method,calculating the optimum parameters to inverse surface subsidence.The results of the example show that this method can generate the correct mining subsidence basin with a few surface observations,and the relative error of the maximum subsidence point is about 8.3%,which is much better than the results of D-InSAR (relative error is 68.0%).This method can satisfy the monitoring requirements of miningsubsidence,which has nice practicability.
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