In recent years, remote sensing technology has played an important role in geological and mineral exploration, and the extraction of alteration minerals based on multi-source remote sensing data has greatly reduced the range of target areas and time cost in the work. The enhancement and extraction of mineral alteration information in Tibetan Jhule area was carried out based on Landsat-9, ASTER and Sentinel-2 remote sensing data. The feature components in the principal component analysis (PCA) of multi-source remote sensing data were normalized by linear affiliation function and then superimposed by Fuzzy Gamma operator to map the mineral search target area. The γ parameters were set as 0.7, 0.75, 0.8, 0.85 and 0.9 in the experiment, and finally γ = 0.85 was determined to be relatively good after the experiment. A total of 8 target areas were circled, and the feasibility of the method in target area circling at high altitude was verified by the field survey. Meanwhile, the field investigation results show that the area has developed high sulfur type shallow-forming low-temperature hydrothermal alteration mineral assemblage, which has the potential of porphyry-shallow-forming low-temperature hydrothermal deposits.