Abstract: Traditional coal mining subsidence deformation monitoring can only obtain the surface shape of the discrete monitoring variables,unable to get deformation trend of subsidence area as a whole,while the D-InSAR technique can obtain the overall surface deformation information.But D-InSAR technique requires a large number of remote sensing image data,otherwise it will lead to loss of coherence time and won't be able to obtain continuous variables.Based on D-InSAR image data interpretation in the process of image data with fewer problems,this paper first using the D-InSAR technology yuen shop two mine of huaibei mining industry group in 7225,7226 working face monitoring analysis, obtained several period subsidence deformation field of the whole,and then put forward combined cubic spline interpolation with D-InSAR technique mining subsidence monitoring method,based on D-InSAR imaging of monitoring value on monitoring,using the cubic spline interpolation to establish interpolation inverse function, the function has been established on the basis of other radar satellite revisit cycle sinking value.Finally the interpolation inversion subsidence value and the measured level data were analyzed.The results show that D-InSAR technique can effectively reflect the influence range of mining subsidence,and can extract the deformation information of regional surface accurately.Combining with the cubic spline interpolation of D-InSAR technology monitoring results maximum error and the maximum relative error is 31.5 mm and 17% respectively.The method can effectively solve the problem of the lack of D-InSAR imaging data.

Key words: mining subsidence, deformation monitoring, D-InSAR, cubic spline interpolation