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智能地质体综合技术在地质图缩编中的应用
引用本文:何文娜, 朱长青, 李仰春, 陈圆圆, 王永志, 蒋作瑞. 智能地质体综合技术在地质图缩编中的应用[J]. 地质通报, 2020, 39(6): 871-879.
作者姓名:何文娜  朱长青  李仰春  陈圆圆  王永志  蒋作瑞
作者单位:1.南京师范大学虚拟地理环境教育部重点实验室, 江苏 南京 210023; 2.吉林体育学院基础课教学研究部, 吉林 长春 130012; 3.中国地质调查局发展研究中心, 北京 100037; 4.河北省区域地质调查院, 河北 廊坊 065000; 5.吉林大学综合信息矿产预测研究所, 吉林 长春 130061; 6.吉林大学地球探测科学与技术学院, 吉林 长春 130061; 7.北京创时空科技发展有限公司, 北京 100083
基金项目:国家重点研发计划《深部矿产资源预测理论与方法综合研究》(编号:2016YFC0600501)、《地球物理图像自相似性模拟》(编号:2016YFC0600501-04)和中国地质调查局项目《地质调查综合智能编图系统与应用》(编号:DD20190415)、《国家地质数据库建设与整合》(编号:DD20160351)
摘    要:地质图缩编过程中存在地质体合并效率低、处理环节繁杂、成果质量难以保证等问题。提出了一套新的地质体智能化综合方法,依托地图综合方法、人工智能算法、地质专家知识等,采用同属性合并、空间聚合、自定义融合、地质体消除、地质体夸大等方法进行智能化处理。MapGIS版智绘地质软件中实现了地质体智能综合处理模块,采用自动或人机交互式并行工作模式,通过"一键式"操作可快速完成地质体综合任务。经实际数据测试,验证了地质图缩编中地质体智能综合方法的正确性,可节省80%以上的工作量,极大提高了编图人员的工作效率,对未来开启地质图件智能化编制具有重要意义。

关 键 词:地图综合   地质体综合   地质图缩编   智绘地质   人工智能
收稿时间:2019-10-01
修稿时间:2020-05-08

An intelligent generalization method of geological body for MapGIS geological map downsizing
HE Wenna, ZHU Changqing, LI Yangchun, CHEN Yuanyuan, WANG Yongzhi, JIANG Zuorui. An intelligent generalization method of geological body for MapGIS geological map downsizing[J]. Geological Bulletin of China, 2020, 39(6): 871-879.
Authors:HE Wenna  ZHU Changqing  LI Yangchun  CHEN Yuanyuan  WANG Yongzhi  JIANG Zuorui
Affiliation:1.Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, Jiangsu, China; 2.Research Department of Basic Course Teaching, Jilin Sport University, Changchun 130012, Jilin, China; 3.Development and Research Center of China Geological Survey, Beijing 100037, China; 4.Regional Geological Survey Institute of Hebei Province, Langfang 065000, Hebei, China; 5.Institute of Integrated Information for Mineral Resources Prediction, Jilin University, Changchun 130061, Jilin, China; 6.College of Geoexploration Science & Technology, Jilin University, Changchun 130061, Jilin, China; 7.Beijing Space-Time Technique Development Co., Ltd., Beijing 100083, China
Abstract:Some complex problems have to be faced during medium-small scale map making from large scale geological map, such as low efficiency to merge massive geological polygons, complicated processing procedures, and being difficult in assuring data quality.This paper proposes a novel intelligent generalization method for geological body based on cartographic and artificial intelligence.Dissolving, spatial aggregation, customized fusion, elimination and exaggeration are employed to perform intelligent processing integrating map generalization and intelligent algorithms.iMapower(MapGIS version)implements the above generalization methods in corresponding modules, which can run automatically or in the form of human-computer interaction.It is very easy to complete most of complete geological body mapping tasks just clicking one time.Using real data to verify the proposed method is effective and can be corrected during mapping from large-scale map to small-scale map, and it can save at least 85 percent of geologic body generalization workload.It can greatly improve the work efficiency and assure the data quality.Furthermore, this way can play an important role in pursuing intelligent compilation of geological map.
Keywords:map generalization  geological body generalization  geological map downsizing  iMapower  artificial intelligence
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