The Zhaotong Inflammation Hill Pb-zn Mining Area Of ​​remote Sensing Information Fusion And Metallogenic Prognosis

With the rapid development of the national regular on the demand for mineral raw materials are growing at the same time because of the near-surface exploitation of mineral resources and mining has become increasingly depleted resources, resulting in the increased difficulty of prospecting. In order to meet the needs of economic development, new theories, new technologies are used in mineral exploration geology, the formation of enriched mineralization theory, and obtained better results prospecting. How to use a means of better guidelines for remote sensing exploration, rapid, and the correct delineation of target for mining exploration in deep and peripheral to provide a scientific basis.In this paper, using the ETM remote sensing image data in order to research Yan Shan in Zhaotong of Yunnan lead-zinc mining areas of remote sensing information fusion and metallogenic prognosis" for support in computer-aided software ERDAS geographic information systems and system platforms, the use of remote sensing technology, surrounding the mining area and its deep resources for new detectors that can quickly target a particular area delineation, greatly reducing the field of exploration of the cycle, and can save a lot of human and material resources.In the collection made by our predecessors of the study area based on geological data, through field investigation, remote sensing interpretation and field investigation. Through the interpretation of geological and remote sensing information analysis, the establishment of an integrated model of information exploration, knowledge and the results of the following:1. accomplish the geological and remote sensing information quickly;2. Process the remote sensing image(ETM) by utilizing the methods for digital image processing, extract mineralization information, interpret the line and ring structure. Achieve a great deal of fixed-quantity information by means of the software of MORPAS, such as equivalent density, average direction, item quantity, outstanding degrees, symmetry degree of centre. Summarize the prospecting model of remote sensing;3. Remote sensing images will be interpreted as a circular graph structure and linear structure, mineralization and extracting information, using GIS as a tool to achieve from the data-level integration of RS and GIS;4. Interpretation of remote sensing images through the site investigation and verification, integrated geological and remote sensing information in the study area has been delineated into five target, and its early stage of planning, engineering verification, achieved good results.