刘福香^1,,
王万银¹,
纪晓琳¹,
熊盛青^2,3,,
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, 长安大学西部矿产资源与地质工程教育部重点实验室, 西安 710054
2. 中国自然资源航空物探遥感中心, 北京 100083
3. 自然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"典型覆盖区航空地球物理技术示范与处理解释软件平台开发"项目(2017YFC0602200)之课题"航空地球物理数据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: 刘福香, 女, 1996年生, 山东青岛人, 长安大学硕士研究生, 研究方向为重、磁方法理论及应用.E-mail: Liufx30103@163.com

通讯作者: 熊盛青, 男, 1963年生, 教授级高级工程师, 博士生导师.长期从事航空地球物理、遥感技术及其地学应用研究工作.E-mail: xsq@agrs.cn

中图分类号: P631

收稿日期:2020-06-25
修回日期:2020-11-19
上线日期:2021-04-10

The fusion with gravity and magnetic potential field data at multi-dimension and multi-scale

LIU FuXiang^1,,
WANG WanYin¹,
JI XiaoLin¹,
XIONG ShengQing^2,3,,
1. Institute of Gravity and Magnetic Technology, School of Geology Engineering and Geomatics, Chang'an University, Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Chang'an University, Xi'an 710054, China
2. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
3. Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Natural Resources, Beijing 100083, China


More Information

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

MSC: P631

--> Received Date: 25 June 2020
Revised Date: 19 November 2020
Available Online: 10 April 2021


摘要
摘要:随着多种地球物理观测手段的应用和发展，不同观测手段采集的位场数据融合方法的研究越来越重要.根据观测维度、观测比例尺的不同，本文将重、磁力异常数据融合分维度(单维和多维)和尺度(单尺度和多尺度)进行讨论分析.针对多维多尺度重、磁位场数据观测位置、观测精度、数据基准的差异，采用空间域迭代法延拓、加权平均、回归分析等方法将不同观测手段获得的位场数据在同一标准下归算至同一平面或曲面，基于此提出了一套适用于多维多尺度重、磁位场数据融合方法；模型测试和实际资料处理结果显示，本文提出的融合方法在多维多尺度重、磁数据的融合中效果良好，计算误差小且符合位场数据的特点.本文所提出的多维多尺度重、磁位场数据融合方法适用于航空、地面和海洋观测的重、磁位场数据融合，具有良好的实用意义和推广价值.
关键词: 重力异常/
磁力异常/
数据融合/
多维多尺度

Abstract:With the application and development of multiple geophysical observation methods, the research on the fusion method of potential field data collected by different observation methods becomes more and more important. According to the different dimension and scales of observation, this paper will divide the data fusion into different dimension (single-dimension and multi-dimension) and scales (single-scale and multi-scale). In terms of the differences in the observation position and accuracy, and data benchmark of multi-dimension and multi-scale, the methods of iterative continuation method in spatial domain, weighted average and regression analysis are used to compute the potential field data measured by different observation methods to the same observation surface under the same standard. Based on this, a set of fusion method that is applied to potential field data at multi-dimension and multi-scale is proposed. The results of model testing and field data show that the fusion method works well in the fusion when the gravity and magnetic data at multi-dimension or multi-scale, following a small calculation error and consistency with the characteristics of potential field data. The fusion scheme at multi-dimension and multi-scale proposed in this paper is suitable for the potential field data of aviation, ground and marine, and has good practical significance and popularization value.
Key words:Gravity anomaly/
Magnetic anomaly/
Data fusion/
Multi-dimension and multi-scale



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