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13 February 2004 Application of multidata fusion in the gold forming prediction
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Abstract
With the growing development of the computer, Remote Sensing (RS) and Geographical Information System (GIS), multi-data fusion is becoming more and more important in data processing. In this paper, we are trying to fuse RS images of different time, different resolutions with geophysical data such as aero magnetic data and gravitational data and geochemical data of Au, Ag, Cu, As, Pb and Zn elements. By processing RS images, we get the surface lithological and structural information relating to the gold forming. By processing the geophysical data and geochemical data, we get the information about the gold distribution as well as the environment and geological factors controlling the gold under the ground. By the fusion of all these data, we get both the gold information hiding in the surface and under the ground. After all these work, we use GIS to manage, analyze and display all these results, whether they are raster data, vector data or attribute data. On the basis of all these, we finally define the hopeful areas of the gold that serve as valuable bases for gold exploration.
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Guangzhen Cao, Fengjie Yang, Hongkui Li, and Peng Hou "Application of multidata fusion in the gold forming prediction", Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); https://doi.org/10.1117/12.511350
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