Study On Applying Multi-Data Fusion To Gold Forming Prediction

With the development of the computer, Remote Sensing(RS) and Geographic Information System(GIS), multi-data fusion is becoming more and more important in data processing. In this paper, we are trying to fuse multi-data of Huamawan Gold Mining Area, which include RS images of multi-temporal and different resolutions with geophysical data such as aeromagnetic data and gravitational data and geochemical data of Au, Ag, Cu, As, Pb and Zn elements. By processing RS images, surface lithological and structural information relating to gold forming is got. By processing the geophysical data and geochemical data, information about gold distribution as well as the gold forming environment and geological factors controlling the gold under the ground is acquired. By the fusion of all these data, both gold information hiding in the surface and under the ground is shown. After all these work, GIS is applied to manage, analyze and display all these results, whether they are raster data, vector data or attribute data. Finally, four gold forming prediction areas are drawn after analyzing all these information qualitatively and quantitatively, which must be a beneficial reference for gold exploration and mining of the study area.