A Study on Surface Deformation Prediction of Manganese Ore Using Combined with Traditional Measurement and InSAR Technology
Although the continuous exploitation of manganese mineral resources has promoted the development of economy,various geological disasters is also arising.In this study,the traditional measurement and synthetic aperture radar interference technology are designed in the temporal synthetic aperture radar interference technology for distributed target.It is used in HTCI test and KS test to identify the homogeneous image elements.In the homogeneous image set,the cocoherence matrix and variance matrix are estimated by the maximum likelihood method.Goldstein filter is introduced to filter the power spectrum of the interference image,thus to denoise.The test results show that the density of the traditional Stanford permanent scatterer technology is about 5.4％and the density of the timing synthetic aperture radar interferometer technology for the improved distributed target is about 27.9％,which is 5.16 times that of the method of the traditional Stanford permanent scattering.The experimental mean error is 21.6 mm,maximum error 36.5 mm and root mean square error 12.8 mm.Therefore,the technical detection error designed in this study is small,which significantly improves the density of the monitoring points in the manganese ore area.It provides data reference for the surface deformation prediction of the manganese ore area and the comprehensive treatment of the mining area.
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