Subsidence Monitoring And Analysis Of Surface Mining Based On Differential Insar

Surface subsidence caused by coal mining is a destructive disaster occuring frequently and affects social harmony and sustainable development of the area and nearby area of mining. Coal surface subsidence monitoring is an important part of coal mining and sustainable development. At present, the monitoring of the coal mining surface subsidence mainly relies on the traditional methods, such as leveling, the dynamic GPS and the static GPS. Beacause of the high cost and long measurement cycle survey of traditional methods, it urgently needs a new technology of surface subsidence moitoring to meet the requirements of today's social development. Synthetic aperture radar interferometry(InSAR)technology is a new technology of monitoring surface developing over last decade. InSAR can monitor deformation by planar, non-contact, all-weather's mode with the accuracy of centimeter and enen millimeter. The paper analyzes the theory and method of monitoring surface subsidence by differential InSAR.The paper centers D-InSAR monitoring mining ground deformation, then analyzes the basic principles of InSAR and two-pass and three-pass differential InSAR and their data processing flow, InSAR data processing error factors, InSAR interferogram filtering denoising. Its main contents are as follows:(1) The basic principles of and data processing flow of and work modes of spaceborne SAR, InSAR and D-InSAR and basic features of spaceborne SAR's image and so on are summarized analyzed sysyemly.(2) The approximate relationships of phase, the length of baseline, the tilt angle of baseline, slope range, satellite orbit platform height, terrain factors and the atmospheric delay's error on InSAR altimetry, two-pass and three-pass differential InSAR are derived detailly, and simulation experiment are done by ERS-1 satellite system, and the general law of their error effecting on InSAR data processing is revealed. Finally, the precision relationship of InSAR data processing accuracy is given detailly, given phase, the length of baseline, the tilt angle of baseline, slope range, satellite orbit platform height, terrain factors'error are interracted.(3) The simulated data and real ASAR data interferogram filtering denoising experiment are done by average filter, circular mean filter, median fiter, median adaptive filter, two-dimentional filter irregular window median filter and other common filter, whose effect of denoising is discussed both qualitatively and quantitatively. Finally, integrated filter denoising experiment are done for ASAR data InSAR interferogram, whose results are analyzed and discussed and evaluated both qualitatively and quantitatively.(4) The applicational experiments of two-pass and three-pass differential InSAR monitoring mining ground deformation are carried out by six ENVISAT SAR data from one mine of Jining. Experimental results are analyzed in terms of subsidence distribution of different time periods, subsidence area statistics and precision analysis of mining.