| 基于ASTER数据的巴里坤地区蚀变矿物填图及找矿 |
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| 引用本文： | 刘磊,周军,尹芳,冯敏.基于ASTER数据的巴里坤地区蚀变矿物填图及找矿[J].遥感技术与应用,2013,28(4):556-561. |
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| 作者姓名： | 刘磊 周军 尹芳 冯敏 |
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| 作者单位： | (1.长安大学地球科学与资源学院,西部矿产资源与地质工程教育部重点实验室,陕西 西安 710054；;
2.兰州金石开矿产咨询服务有限责任公司,甘肃 兰州 730030；;
3.中国科学院地理科学与资源研究所,北京 100101) |
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| 基金项目： | 中央高校基本科研业务费专项资金与长安大学西部矿产资源与地质工程教育部重点实验室开放基金 |
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| 摘 要： | ASTER图像被广泛应用于蚀变矿物填图中,但综合采用多种方法并对结果进行优选的研究鲜有报道。以新疆巴里坤县三道岭地区为研究区,综合采用比值法和主成分分析法处理ASTER数据进行蚀变矿物填图,利用已知矿点、小岩体、构造、化探异常等信息对各种方法提取的遥感异常结果进行对比、筛选,进而选取最优结果,之后结合地质、化探异常综合分析圈定了15处靶区,通过对其中9处靶区进行野外检查发现铜、金矿化点7处。结果表明多种蚀变矿物填图方法对比、优选较单一处理方法更为有效。
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| 关 键 词： | 遥感 蚀变矿物填图 波段比值 主成分分析 |
Alteration Mineral Mapping and Ore Prospecting based on ASTER Data in Balikun,Xinjiang |
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| Liu Lei,Zhou Jun,Yin Fang,Feng Min.Alteration Mineral Mapping and Ore Prospecting based on ASTER Data in Balikun,Xinjiang[J].Remote Sensing Technology and Application,2013,28(4):556-561. |
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| Authors: | Liu Lei Zhou Jun Yin Fang Feng Min |
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| Affiliation: | (1.Key Laboratory of Western China’s Mineral Resources and Geological Engineering,Ministry;
of Education,School of Earth Sciences and Resources,Chang’an University,Xi’an 710054,China;;
2.Lanzhou AuriferouStone Mining Services Co.,Ltd,Lanzhou 730030,China;;
3.Institute of Geographic Sciences and Natural Resources Research,;
Chinese Academy of Sciences,Beijing 100101,China) |
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| Abstract: | ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) has been used extensively in alteration mineral mapping.However,using multi-methods and comparing the results to select the optimal areas,have rarely been reported.Sandaoling in Balikun County,Xinjiang was taken as the study area.Both band ratio and principal component analysis were adopted to map alteration minerals using ASTER data.Multi-information such as ore points,small intrusions,structure,geochemical anomalies were then applied to compare with the remote sensing anomalies to obtain the best results.Fifteen ore exploration targets were located by synthetic analysis of multi\|information including remote sensing anomalies,geochemical anomalies and geological data.Through ground inspection of nine targets,seven new mineralization occurrences were discovered.The result shows that using multi\|methods for alteration mineral mapping and comparing the results to select the optimal ones are more effective than using a single image processing method. |
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| Keywords: | Remote sensing Alteration mineral mapping Band ratio Principal component analysis |
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