利用时序SAR影像集监测开采沉陷的试验研究

An Experimental Research on Using Time Series SAR Images to Monitor Mining Subsidence

研究了一种利用时序合成孔径雷达(SAR)影像集监测矿区开采沉陷的新方法。详细分析了参考影像的选取、差分干涉图的获取、相干点目标的选取、沉降模型的建立与解算及非线性形变率的分离等处理步骤。以江苏某矿的条带开采区域作为研究对象,对12景1995-1998年获取的ERS1/ERS2影像进行了处理,初步获取了该矿3 a年间的地表沉降平均速率。

The ground subsidence induced by mining activity usually damages the buildings,roads and other basic establishment of mining areas,which threat the people＇s life and property security.However,the traditional monitoring methods（e.g.GPS,Leveling） have some disadvantages such as high cost,long observation time and so on.Thus,a new method of monitoring the deformation of ground surface with time series SAR images was studied in this paper.The main process steps such as selecting the reference image,generating differential interferogram,using amplitude dispersion index and coherence coefficients threshold to select the interferometric points,establishing and solving the model,apart from the atmospheric phase,non-linear deformation phase and phase noise by temporal and spatial filter and so on are analyzed in detail.At last,12 scenes of ERS1/ERS2 images captured during 1995-1998 in certain mining area were processed,and the mean subsidence velocity of this area was obtained simply.