| 基于邻域约束聚类的地球化学异常提取 |
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| 引用本文： | 杨昭颖,冯磊,姜德才,朱月琴,余先川.基于邻域约束聚类的地球化学异常提取[J].地质通报,2019,38(12):2077-2084. |
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| 作者姓名： | 杨昭颖 冯磊 姜德才 朱月琴 余先川 |
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| 作者单位： | 中国自然资源航空物探遥感中心, 北京 100083,中国自然资源航空物探遥感中心, 北京 100083,中国自然资源航空物探遥感中心, 北京 100083,自然资源部地质信息技术重点实验室, 北京 100037;中国地质调查局发展研究中心, 北京 100037,北京师范大学信息科学与技术学院, 北京 100875 |
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| 基金项目： | 中国地质调查局项目（编号：DD20191006）、《国家地质大数据汇聚与管理（编号：DD20190381A）和《资源环境重大问题综合区划与开发保护策略研究》（编号：DD20190463） |
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| 摘 要： | 通过分析地球化学数据的元素值属性和空间位置，提出一种基于邻域约束聚类的方法，使用该方法对地球化学元素聚类后，能提取矩形、环状、半环状等特殊形状，进而提取地球化学异常。选取河南崤山地区2个实验区的地球化学数据进行实验，实验一的结果表明，出现矩形的位置与已知钨矿矿点位置一致；实验二的结果表明，出现环形的位置与已知铜矿矿点位置一致。实验证明了基于邻域约束聚类的方法在提取地球化学异常方面的有效性。
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| 关 键 词： | 地球化学异常 邻域约束 聚类算法 |
| 收稿时间： | 2019/4/23 0:00:00 |
| 修稿时间： | 2019/7/16 0:00:00 |
Geological anomaly extraction based on neighborhood constraint clustering |
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| YANG Zhaoying,FENG Lei,JIANG Decai,ZHU Yueqin and YU Xianchuan.Geological anomaly extraction based on neighborhood constraint clustering[J].Geologcal Bulletin OF China,2019,38(12):2077-2084. |
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| Authors: | YANG Zhaoying FENG Lei JIANG Decai ZHU Yueqin and YU Xianchuan |
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| Affiliation: | China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China,China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China,China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China,Key Laboratory of Geological Information Technology, Ministry of Natural Resources, Beijing 100037, China;Development and Research Center, China Geological Survey, Beijing 100037, China and Academy of Information Science and Technology, Beijing Normal University, Beijing 100875, China |
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| Abstract: | Geochemical anomalies often have a strong correlation with ore deposits. The study of effective methods for extracting geochemical anomalies is of great significance for prospecting. The advent of the era of big data and artificial intelligence poses new challenges for the extraction of geochemical anomalies that are automatic and independent of expert knowledge. Geostatistical research shows that it is a new geochemical prospecting idea to identify geochemical anomalies by identifying the special spatial forms of geochemical anomalies, such as lattices, bands, and rings. By analyzing the element value attribute and spatial position of geochemical data, this paper proposes a method based on neighborhood constrained clustering. After clustering geochemical elements, it can extract special shapes such as rectangle, ring and semi-ring and extract geochemical anomalies. In this paper, the geochemical data of two experimental areas in the Xiaoshan area of Henan Province were selected for experiments. The results of Experiment 1 show that the position of the rectangle appears consistent with the location of the known tungsten ore site, whereas the results of Experiment 2 show that the position of the ring is consistent with the location of the known copper orebody. The experiment proves the effectiveness of the method based on neighborhood constrained clustering in extracting geochemical anomalies. |
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| Keywords: | geochemical anomaly neighborhood constraint clustering |
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