中国有色金属学报(英文版)
中國有色金屬學報(英文版)
중국유색금속학보(영문판)
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
2014年
4期
1242-1247
,共6页
范洪冬%顾伟%秦勇%薛继群%陈炳乾
範洪鼕%顧偉%秦勇%薛繼群%陳炳乾
범홍동%고위%진용%설계군%진병건
D-InSAR%遗传算法(GA)%概率积分法%开采沉陷
D-InSAR%遺傳算法(GA)%概率積分法%開採沉陷
D-InSAR%유전산법(GA)%개솔적분법%개채침함
D-InSAR%genetic algorithm%probability integral method%mining subsidence
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%)。
針對差分閤成孔徑雷達榦涉測量(D-InSAR)技術無法正確穫取礦區地錶大沉降量的問題,提齣D-InSAR及概率積分法聯閤穫取礦區沉降量的新方法。具體過程為:由D-InSAR技術得到下沉盆地,選取盆地邊緣相榦繫數較大而下沉量較小的點,再加入最大下沉點和枴點附近的少量實測點作為解算控製點;然後採用遺傳算法對概率積分法參數不斷進行優化;最後,由解算的最優參數反算地錶下沉盆地。實例錶明,該方法能夠在減少地麵鑑測點數量的情況下穫取較為準確的地錶沉降場,最大下沉的相對誤差為8.3%,優于D-InSAR的鑑測結果(相對誤差約68.0%)。
침대차분합성공경뢰체간섭측량(D-InSAR)기술무법정학획취광구지표대침강량적문제,제출D-InSAR급개솔적분법연합획취광구침강량적신방법。구체과정위:유D-InSAR기술득도하침분지,선취분지변연상간계수교대이하침량교소적점,재가입최대하침점화괴점부근적소량실측점작위해산공제점;연후채용유전산법대개솔적분법삼수불단진행우화;최후,유해산적최우삼수반산지표하침분지。실례표명,해방법능구재감소지면감측점수량적정황하획취교위준학적지표침강장,최대하침적상대오차위8.3%,우우D-InSAR적감측결과(상대오차약68.0%)。
Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar (D-InSAR) alone, a new algorithm was proposed to extract large deformation mining subsidence using D-InSAR technique and probability integral method. The details of the algorithm are as follows:the control points set, containing correct phase unwrapping points on the subsidence basin edge generated by D-InSAR and several observation points (near the maximum subsidence and inflection points), was established at first; genetic algorithm (GA) was then used to optimize the parameters of probability integral method; at last, the surface subsidence was deduced according to the optimum parameters. The results of the experiment in Huaibei mining area, China, show that the presented method can generate the correct mining subsidence basin with a few surface observations, and the relative error of maximum subsidence point is about 8.3%, which is much better than that of conventional D-InSAR (relative error is 68.0%).