【摘要】 为深入研究和探讨高分五号(GF-5)航天高光谱遥感技术在铀矿地质找矿中的应用效果和潜力，基于龙首山成矿带航天高光谱数据，开展高光谱数据处理和蚀变信息提取工作，创新实现了GF-5高光谱波段修复，通过构建标准光谱库和诊断光谱，运用MNF算法、PPI算法，结合SAM光谱角填图技术，完成蚀变矿物端元提取和光谱匹配，实现研究区钠长石、方解石、石英、绿泥石、赤铁矿和高岭土蚀变矿物的提取，综合区域铀矿成矿地质背景，通过开展地面波谱测量和野外调查，在验证蚀变准确度的基础上，剖析航天高光谱蚀变信息和成矿规律，构建了区域找矿定位模型，圈定找矿预测区3处，取得了较好的找矿效果，为国产GF-5高光谱遥感在地质找矿中的应用提供了参考。更多还原

【Abstract】 Hyperspectral remote sensing technology is widely used in geological prospecting. Gaofen-5(GF-5 for short) is China’s first hyperspectral comprehensive observation satellite, which has hyperspectral resolution remote sensing data of 330 spectral segments. To improve our understanding, it is necessary to explore the application effect and potential of GF-5 space hyperspectral remote sensing technology to unveil the relevant processes in uranium geological prospecting. This study used hyperspectral data in Longshoushan metallogenic belt, Gansu Province, to carry on hyperspectral data processing and alteration information extraction study. GF-5 hyperspectral band repair was innovatively realized. By constructing standard spectral library and diagnostic spectrum, MNF algorithm, PPI algorithm and SAM spectral angle mapping technology were used to complete alteration mineral end-member extraction and spectral matching. We finally achieved the extraction of albite, calcite, quartz, chlorite, hematite and kaolin alteration minerals in our study area. Comprehensive regional uranium ore-forming geological background, by conducting ground spectrum measurement and field investigation, on the basis of accuracy verification alteration, we analyzed the space hyperspectral alteration information and metallogenic regularities, built the regional prospecting orientation model, at the same time three prospecting prediction areas were delineated, and good prospecting results were achieved. This paper provides reference for the application of GF-5 hyperspectral remote sensing in geological prospecting.更多还原