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《Research of Soil and Water Conservation》 2008-01
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Application of RS Data Fusion of Multi-source and Multi-temporal in Coal Mine Subsidence

XU Chang-hui,GAO Jing-xiang,WANG Jian,SUN Jiu-yun(School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu 221008,China)  
It is a significant problem of mining area subsidence resulting from underground coal mine mining,which resulted in soil resources destruction,even a lot of waterlogging in the high water level.Thus it is necessary to obtain the data such as propagation law with the action of mining,the areas of subsidence areas,destroying degree and excess water section and so on.However,traditional surveying methods were not sufficient to collect these data while the data could be rapidly and accurately exhibited by RS data fusion.Meanwhile,dynamic propagation can also be analyzed by superposition of multi-temporal image.So four kinds of RS fusion methods were adopted for case study about subsidence areas of some mining area in Shandong province,then the results were evaluated by some qualitative and quantitative assessment index.HIS transform is proved that not only improving imagery information and spatial resolution,removing ambiguity,but effectively obtaining spectrum characteristics,and finally increasing the utilization rate of imagery data.
【CateGory Index】: TP79
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