Abstract: This study extracted and analyzed the altered mineral anomalies in the Suolake area in the Altyn metallogenic belt, Xinjiang using the airborne hyperspectral remote sensing data (CASI/SASI). Based on this, the distribution pattern and genesis of the altered mineral anomalies in the area were summarized. Then, the spectral curve characteristics of altered minerals from different geologic bodies were analyzed and summarized according to the ground spectrum measurement of typical rocks and minerals. Meanwhile, the spectral measurement and analysis of the geologic profiles of altered minerals in the Suolake copper-gold deposit were conducted. Then, representative altered mineral assemblages were determined, and the hyperspectral remote sensing prospecting model based on gold deposits in this area was established. Base on metallogenic geological setting and geochemical anomaly characteristics, this study explored the application of hyperspectral remote sensing data-based anomaly extraction in metallogenic prediction. The results verified that the anomaly areas delineated using hyperspectral remote sensing data have favorable gold mineralization, suggesting that hyperspectral remote sensing can provide accurate and reliable information for ore prospecting.