| Remote Sensing ore-finding is a new area of Remote Sensing geological applications.The primary target is extracting the information of Stratum,Lithology,Structural and Alternation,and the key of Remote Sensing ore-finding is extracting useful information from complex geological information.We select Shaoxing-Zhuji as our research region,then processed the ETM+ image we acquired with the famous remote sensing image processing system of ENVI 4.5,include geometric correction,image fusion,image enhancement, vegenation suppression and best bansd combination,and so on.Based on these image process,We enhanced and interpreted five main elements of remote sensing ore-finding,especially concealed faults and concealed rocks.We found most mineral points and mineral deposits located in or around linear structure,circular structure or their intersection areas.Secondly,We study the spectrum characteristic and difference of normal alternative rock and wall rock within ETM+ bands,.Hereby,establishing method of band combination for classfying extract and enhancement extract to remote sensing mineralized information based on spectrum feature.Then masking the ETM+ image and extracting remote sensing mineralized information by pricipal component analysis and ratio processing and spectral angle mapper. By comparing and judging the resoult with ETM+ we extracted in front,We find that ASTER data has advantage in extracting mineralized information in vegetation zone.Finally,based on GIS technology snd Mapgis 6.7 software platform,we integrated and analyzed the five elements of remote sensing ore-finding,mineralized alteration information,geophysical data,geochemistry data,geology data and known mineral points,establishing the prediction factors of remote ore-finding.Then,making metallogenic prediction and enclosing five predicted targets for future exploration work. Hope this work will help seek deposit in the future and avoid blindness field work.
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