High-resolution remote sensing data have rich information and hence can be used to better identify micro-lithology, structure and other ore-controlling information. In order to study the extraction of ore-controlling information of high-resolution remote sensing data in Rongle area of Tibet where the elevation is high and the bedrock is exposed, the authors interpreted the ore-controlling information of strata, lithology, rock mass, structure, contact zone and other information closely related to copper polymetallic mineralization in this area on the basis of the best band combination determined by WorldView-2 high-resolution remote sensing data. Using ASTER data, the authors employed principal component analysis (PCA) to extract the mineralization-related remote sensing alteration information of iron stain, aluminum hydroxyl group and magnesium hydroxyl group. Based on comprehensive regional copper mineralization rules, the authors constructed a remote sensing prospecting model for ore-controlling information of magmatic hydrothermal copper deposits through human-computer interaction interpretation. Five prospecting targets were delineated and good mineralization clues were found through field investigation. The results provide basic information and reference basis for promoting local prospecting process. The results show that the high-resolution remote sensing data can meet the needs of mineral resources exploration and resource evaluation in the high-altitude environment hostile areas in Western China and highlight the fast, efficient and reliable application effect of high-resolution remote sensing.