Application of ASTER Remote Sensing Data to Porphyry Copper Exploration in the Gondwana Region

Porphyry copper ore is a vital strategic mineral resource. It often associated with significant hydrothermal alteration, which alters the original mineralogical properties of rock. Extracting alteration information from remote sensing data crucial for porphyry exploration. However, current method extracting ASTER does not consider influence disturbing factors, such as topography, and ignores weak report surface minerals, has limitations. Therefore, this paper selects Gondwana region East Tethys–Himalayan tectonic domain study area, combines waveform calculation principal component analysis methods, proposes spectral feature-enhanced (EPCA) method, constructs model to complete automatic selection components each scene image. The results show that etching extracted by EPCA significantly better than traditional Crosta in terms area spatial aggregation discovers several prospective mineralization areas have yet been explored exploited, Sakya Xietongmen counties Rikaze, providing theoretical support subsequent exploration large-scale extraction. Meanwhile, obtaining whole can help understand distribution mineralizing elements macroscopic perspective future, great scientific significance order deeply analyze formation process metal deposits improve theory mineralization.