| Remote sensing image is the foundation of Remote sensing ore-finding, and remote sensing ore-finding infomation extracting is the key of remote sensing ore-finding. The author selected some typical area of Zhejiang province, integrated with the regional geological features of Zhejiang province,on the famous remote sensing image processing system of PCI Geomatica V8.2 from Canada, processed the TM image of this area obtained by America's Landsat-5. Firstly, the author did image mosaic, geometric correction, image enhancement, band-ratio analysis, and so on, enhanced and interpreted a lot of tectonic and concealed rock of this area .Then the author studied alterative rocks and wall rocks' spectrum characters and differences within TM bands, hereby, the model to enhance and extract the remote sensing information of mineralized alteration was established, and the remote sensing infornation of mineralized alteration was extracted by the "TM mask+principal analysis+band-ratio analysis". The author select seven factors in favor of ore forming as the spatial information data resources.They are linear density anomaly of remote sensing, linear frequency anomaly of remote sensing, circular anomaly of remote sensing, geochemistry anomaly, geophysical anomaly, geological anomaly and the known ore( point) deposit. Finally, in the system of MapGis 6.5, the author firstly integrated the geology map, remote sensing interpretation map, and mineralized alteration infomation map extracted from the remote sensing image, and analyzed synthetically the ore-forming geological background and the ore-controlling factors of this area, then utilizing CIS spatial analysis carries through synthetic analysis of multi-information, made out the ore-finding forecast and confirmed three ore-finding forecast canes, which will be important instructing meaning to production and ore-finding in the future.
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