Remote Sensing Multispectral Forming Information Extraction And Metallogenic Prediction

Remote sensing mineralized information is remote sensing information which reflects geologic phenomenon related to mineralization such as mineralizing geological background, mineral control factors and alterative rock. The author selected Dulenggou area in Qinghai province as research district, uses ETM satellite image data to study the extraction methods of remote sensing mineralized information and its application on mineral exploration.The first step of the research was data pretreatment to image which includes atmosphere emendation, geometry emendation and geography registration and so on. Then making an image of basic geology-physiognomy by selecting best bands combination to color composition according to statistical analysis to value feature of the ETM image, and fusing with ETM's pan band to obtained remote sensing information of stratum-rock unit and fault structure by geologic explanation and analysis. Then making spectral analysis to representative alterative mineral and studying the spectral feature of each kind of alterative rock and wall rock along with their spectrum feature correspond to every band of ETM image (ETM 1-7) and their spectral difference. Hereby, establishing method of band combination for classifying extract and enhancement extract to remote sensing mineralized information based on spectrum vector. Then masking the ETM image and extracting remote sensing mineralized information by principal component analysis and ratio processing. To compare with abnormity information which extracted in front, and judge its effect, adopted IHS transform to extract mineralized information. Then analyzing background condition of mineral geology. At last, based on GIS technology, making system integration and colligate process and analysis to data such as kinds of remote sensing mineralized information and geography, geologic mineral resources, geophysical prospecting and geochemistry prospecting and so on, then making metallogenic prediction. Enclosed 5 prospecting areas which take good effect by field examination.