基于卷积神经网络识别重力异常体

doi:10.11720/wtyht.2020.1504

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Abstract

This study combines the deep learning with the identification of gravity anomaly body. Based on the CNN (convolutional neural network) which has been gaining its use in the past several years in the field of image identification, the contour image of gravity signal is taken as the unidentified image, while the space parameters of the gravity anomaly body will be identified through CNN. In the training phase, a large number of the 3D anomaly bodies are generated with random variation of parameters, then the network is fed with parametric labels and the computed gravity contour images. The testing is performed with generated testing models to estimate the performance of the trained model. The trained CNN accuracy shows excellent accuracy in the identifications. Then the CNN model is tested with measured main gravity anomaly data of Kauring area in West Australia, and the identified parameters of the 3D anomaly body are compared with known results. It is shown that the generalization of CNN can handle identification of the measured gravity data.

Key words： deep learning convolutional neural network identification of gravity anomaly body parametric inversion

Received: 28 October 2019 Published: 22 April 2020

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	Yi-Chen WANG
	Lin-Tao LIU
	Hou-Ze XU

Cite this article:

Yi-Chen WANG,Lin-Tao LIU,Hou-Ze XU. The identification of gravity anomaly body based on the convolutional neural network[J]. Geophysical and Geochemical Exploration, 2020, 44(2): 394-400.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.1504 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I2/394

The structure of the CNN

The structure of CNN used to identify the gravity anomaly bodies

The loss of CNN during training
a—for depth identification;b—for size identification

The gravity anomaly bodies used in CNN model

The gravity contour map of testing bodies
a—body a;b—body b;c—body c;d—body d

The identified parameters of testing bodies

The measured main gravity anomaly in Kauring testing ground

Comparison with known results of main gravity anomaly bodies in Kauring

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