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Slope Deformation Monitoring On Anshan Open-Pit Mine Based On Time Series InSAR

Posted on:2016-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:C SuFull Text:PDF
GTID:2371330542486797Subject:Cartography and Geographic Information Engineering
Abstract/Summary:PDF Full Text Request
China owns rich mineral resources,when it gains great economic benefits by large-scale exploiting mineral resources,it also suffers a series of mining damage and serious environment problems.Open-pit mining is an important way for mineral mining.With the increasing of mining depth,the height and size of slope will continue to increase,which may have a great impact on the surrounding regions.It not only destroy the buildings on the Earth's surface,but also damage the mining industry equipments and civilian facilities.Therefore,it is significant to monitor the surface deformation of slope and surrounding areas in the open-pit mine in order to prevent the disasters and reduce the losses.The traditional surface deformation monitoring methods have their advantages and meet the observation precision under some condition,but these methods need a lot of manpower and material resources and couldn't achieve a wide range of monitoring.D-InSAR technology has the characteristics of all day and all weather,strong penetrating ability,which is suitable for long time monitoring for large deformation.However,it can not be effectively applied in the detecting of small deformation due to time loss correlation,space loss correlation and atmospheric effects.In order to solve these problems,InSAR time series analysis methods such as PS-InSAR,SBAS-InSAR and so on are proposed.Stable point target recognition is one of the key technologies for InSAR time series,effectively identifying reliable and accurate point target is the foundation of deformation monitoring.This thesis aims at analyzing the stable point target selection method on time series image to obtain the surface deformation with high precision.Therefore,the main studies of this thesis are as follows:(1)This thesis focus on studying stable point target extraction method on time series SAR image.Firstly,the single stable point selection methods using coherent coefficient,amplitude information and phase information were analyzed,and the advantages and disadvantages of these methods and its application conditions were pointed out.Then,the application condition of dual threshold selecting algorithms were analyzed.Based on the above analysis,a new point selection method by integrating amplitude and phase information was proposed in this thesis.Then,the ERS-2 data were used to verify the proposed algorithm.The analysis and evaluation results indicated that the proposed comprehensive detection method based on amplitude and phase could reduce the error rate of point selection,and it could ensure the density and reliability of stable point at the same time.(2)The time series InSAR method was used to monitor deformation of open-pit mine slope based on the proposed stable point selection algorithm.In this thesis,permanent scatterers,small baseline set and combined method MT-InSAR were used to invert open-it mine slope deformation of Anshan city from 1996 to 2000.Therein,the influence of DGM-E04 and JGM3 gravitational orbit data on registration accuracy and SRTM DEM and Aster GDEM DEM data application condition were discussed in detail.After that,the effectiveness and feasibility of time series InSAR in deformation monitoring of open-pit mine were analyzed.The results showed that time series InSAR technology is suitable for slope deformation monitoring in the open-pit mine,and the precision can reach millimeter scale.
Keywords/Search Tags:time series InSAR, stable point target selection, amplitude and phase synthetical select point, slope deformation
PDF Full Text Request
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