重力场场源边界识别技术与模型对比分析

Comparison and Analysis of Gravity Field Source Boundary Identification Technology and Model

边界识别是位场数据分析和解释的重要组成部分,其中数值计算类边界识别方法应用最为广泛。本文系统地阐述了数值类计算方法中边缘探测和边缘增强两类方法的基本原理和研究进展,并通过模型试算分析了两类方法的优缺点。结果认为,边缘探测适用于深度较浅的场源,边缘增强适用于深度较深的场源。同时,与传统识别方法的比较认为,比值类方法边界识别效果更清晰,尤其是改进倾斜角法和STDR法。这两种方法继承了倾斜角法的优势,均不受场源深度的影响,能够有效提取弱异常信息,识别的场源边界位置与实际位置吻合度更高,具有较高的精度和清晰度。

Boundary recognition is an important part of potential field data analysis and interpretation.Among them,the boundary recognition method of numerical calculation is the most widely used.This paper systematically elaborates the basic principles and research progress of edge detection and edge enhancement in numerical calculation methods,and analyzes the advantages and disadvantages of the two methods through model calculations.The resultsshow that edge detection is suitable for shallow field sources,while the edge enhancement is suitable for deeper field sources.At the same time,compared with traditional recognition methods,it is believed that the boundary recognition effect of ratio-based methods is clearer,especially the improved tilt angle method and STDR method.These two methods inherit the advantages of the tilt angle method,and are not affected by the depth of the field source,and can effectively extract weak anomaly information.The identified field source boundary position is more consistent with the actual position,and has higher accuracy and clarity..