王丁丁^1,,
王万银¹,
朱莹洁^1,2,
熊盛青^3,,
1. 长安大学重磁方法技术研究所, 长安大学地质工程与测绘学院, 西部矿产资源与地质工程教育部重点实验室, 西安 710054
2. 加拿大纽芬兰纪念大学地球科学系, 圣约翰斯, 纽芬兰, A1B3X5
3. 中国自然资源航空物探遥感中心, 国土资源部航空地球物理与遥感地质重点实验室, 北京 100083

基金项目: 国家重点研发计划项目(2017YFC0602200)之课题"航空地球物理综合处理解释方法研究及软件开发"(2017YFC0602202)资助


详细信息

作者简介: 王丁丁, 男, 回族, 1995年生, 长安大学博士研究生, 研究方向为重、磁方法理论及应用.E-mail: wdd260301@chd.edu.cn

通讯作者: 熊盛青, 男, 1963年生, 博士, 教授级高级工程师, 博士生导师, 主要从事航空物探和遥感技术研究.E-mail: xsq@agrs.cn

中图分类号: P631

收稿日期:2020-06-21
修回日期:2020-11-16
上线日期:2021-04-10

Extraction methods and application of feature points of edge recognition for potential field

WANG DingDing^1,,
WANG WanYin¹,
ZHU YingJie^1,2,
XIONG ShengQing^3,,
1. Institute of Gravity and Magnetic Technology, Chang'an University, School of Geological Engineering and Geomatics, Chang'an University, Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710054, China
2. Memorial University of Newfoundland, Department of Earth Sciences, St. John's, Newfoundland, A1B3X5, Canada
3. China Natural Resources Aviation Geophysical and Remote Sensing Center, Key Laboratory of Aerospace Physics and Remote Sensing Geology, Ministry of Land and Resources, Beijing 100083, China


More Information

Corresponding author: XIONG ShengQing,E-mail:xsq@agrs.cn

MSC: P631

--> Received Date: 21 June 2020
Revised Date: 16 November 2020
Available Online: 10 April 2021


摘要
摘要:位场边缘识别技术在地质构造特征研究中发挥着重要作用，但相关的自动化解释技术却发展缓慢.本文在位场边缘识别技术的基础上，研究了一套脊点提取、连接及特征线综合信息提取方法，可促进自动化地质解释的发展.首先，依据脊点的局部性质判断其存在性并计算其位置，采用分类连接、双向连接及排序等技术保证了脊点连接的连续性和高效性；之后，利用脊线方向、脊线笔直度、固定值线方向和固定值线扁度对特征线(脊线和固定值线)进行分区，并通过对特征线的方向、条数以及长度或面积进行综合统计，进一步提取边缘识别结果蕴含的信息.最后，通过实际资料测试验证了本文方法的有效性和实用性.
关键词: 位场边缘识别/
特征点/
提取/
连接/
综合信息提取

Abstract:Edge recognition methods for potential field data play important roles in the study of geological structure features, but the related automated interpretation technologies have been developed slowly. In this paper, we studied a set of methods for the extraction and connection of ridge points of the edge recognition methods, to extract comprehensive information about feature lines, and to promote the development of automated geological interpretation. Firstly, the existence of ridge points is judged according to their local properties, and if they do exist, their locations are calculated then. After that, these ridge points are connected, and the continuity and high efficiency during the connecting process are ensured by several techniques such as classification connection, bidirectional connection and sorting. Next, the directions and straightness of the ridge lines, and the directions and flatness of the fixed value lines are used to partition the feature lines. Also, the directions, frequencies and lengths of the feature lines or the area circled by feature lines are counted for further comprehensive information extraction about the edge recognition results. Finally, the effectiveness and practicability of the proposed methods are verified by real data application.
Key words:Edge recognition methods for potential field data/
Feature points/
Extraction/
Connection/
Comprehensive information extraction



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