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铀资源勘查多源地学数据挖掘技术
引用本文:张杰林.铀资源勘查多源地学数据挖掘技术[J].国外铀金地质,2010(4):244-244.
作者姓名:张杰林
作者单位:核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室,北京100029
摘    要:核能作为清洁能源之一,是实现我国能源经济可持续发展的重要支撑。近年来,核电的快速发展对天然铀资源供给提出了新需求、新挑战,利用现代对地观测新技术新方法,持续开展铀资源高效勘查,是扩大天然铀资源量的关键途径。基于数据挖掘和知识发现技术,综合利用遥感、地球物理、地质等多源地学数据,通过光学遥感数据与雷达数据融合、航磁、航放、重力与地学数据综合分析,结合地面遥感地质调查与验证,系统研究了桃山矿田及其邻区主要成矿岩体、控矿构造、热液蚀变等多种铀成矿要素的电磁波谱特征,综合评价了铀成矿条件,圈定了远景靶区。

关 键 词:数据挖掘  遥感  地球物理特征  铀矿地质

Multi-source geological data mining and its utilization of uranium resources exploration
Authors:ZHANG Jie-lin
Institution:ZHANG Jie-lin (National Key Laboratory of Remote Sensing Information and Image Analysis Technology,Beijing Research Institute of Uranium Geology,Beijing 100029,China)
Abstract: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 characterize 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,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 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.
Keywords:data mining  remote sensing  geophysical characteristics  uranium geology
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