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Nuclear energy as one of clear energy sources takes important role in economic development in CHINA, and according
to the national long term development strategy, many more nuclear powers will be built in next few years, so it is a great
challenge for uranium resources exploration. Research and practice on mineral exploration demonstrates that utilizing
the modern Earth Observe System (EOS) technology and developing new multi-source geological data mining methods
are effective approaches to uranium deposits prospecting. Based on data mining and knowledge discovery technology,
this paper uses multi-source geological data to character electromagnetic spectral, geophysical and spatial information of
uranium mineralization factors, and provides the technical support for uranium prospecting integrating with field remote
sensing geological survey. Multi-source geological data used in this paper include satellite hyperspectral image
(Hyperion), high spatial resolution remote sensing data, uranium geological information, airborne radiometric data,
aeromagnetic and gravity data, and related data mining methods have been developed, such as data fusion of optical data
and Radarsat image, information integration of remote sensing and geophysical data, and so on. Based on above
approaches, the multi-geoscience information of uranium mineralization factors including complex polystage rock mass,
mineralization controlling faults and hydrothermal alterations have been identified, the metallogenic potential of uranium
has been evaluated, and some predicting areas have been located.
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