曲波变换在位场信号提取中的应用研究

doi:10.11720/wtyht.2021.1405

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Abstract

In order to separate and extract the effective signals from gravity and magnetic data, the authors studied a method developed in the past ten years—Curvelet transform method. Starting with the basic principles of the Curvelet transform, the authors analyzed the multi-scale decomposition and reconstruction ability of the Curvelet transform through the theoretical model data of the gravity potential field, and analyzed the threshold denoising ability of the Curvelet transform by the noise-added theoretical model data. In addition, the Curvelet transform was used to extract effective signals from the Bouguer gravity anomaly data in the eastern part of Nanling. The results verify that the method can be applied to both the decomposition and denoising processing of potential field data. The results provide a reference for the multi-scale analysis and processing of gravity and magnetic data as well as a certain indication for actual data.

Key words： potential field data Curvelet transform effective signal extraction multi-scale decomposition threshold denoising

Received: 14 August 2020 Published: 01 March 2021

ZTFLH:

P631

Corresponding Authors: WANG Jun-Heng E-mail: 405350764@qq.com;w1128@cugb.edu.cn

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	Articles by authors
	Yang ZHANG
	Jun-Heng WANG
	Lian-Peng CAO
	Yu-Hua FENG
	Jiang-Huang ZHU
	Qiang FU

Cite this article:

Yang ZHANG,Jun-Heng WANG,Lian-Peng CAO, et al. A study of the application of Curvelet transform to potential field signal extraction[J]. Geophysical and Geochemical Exploration, 2021, 45(1): 84-94.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.1405 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I1/84

Curvelet coefficient structure of 512×512 data

Vertical hexahedron combined gravity anomaly

Reconstructed graph of gravity anomaly with coefficients decomposed by Curvelet transform

The reconstructed gravity anomaly map after the decomposition of the Curvelet transform

Field source parameter statistics table of vertical hexahedron

The reconstructed image with noise-added data using Curvelet transform

Curvelet transform threshold denoising of noise-added data
(add 10% amplitude random noise,sigma=0.8)

Curvelet transform threshold denoising of noise-added data
(add 5% amplitude random noise,sigma=0.45)

Curvelet transform threshold denoising of noise-added data
(add 1% amplitude random noise,sigma=0.15)

Bouguer gravity anomaly map of EGM2008 in the eastern part of Nanling

Topographic map of the study area

The reconstructed gravity anomaly map using Curvelet transform

Geological sketch map of eastern Nanling

Comparison of geological sketch map (a) and gravity anomaly map (b) of eastern Nanling

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