A Novel Classification Method for Subsurface Targets

DOI

10.2991/mmssa-18.2019.24How to use a DOI?

Keywords

time domain electromagnetic method; inversion problems; three-dimensional orthogonal magnetic dipole; subsurface targets classification

Abstract

In this paper, a novel subsurface targets classification method based on the DE-LM joint inversion technique is presented, which requires few control variables and has strong robustness. It eliminates the inaccuracy of the inversion results when an initial value is far away from the truth value by the Levenberg-Marquardt(LM), and reinforces the weak local search capability of the Differential Evolution(DE) inversion technique. Next, the classification method proposed herein extracts subsurface characteristics of targets and classifies the targets automatically by means of the intrinsic responses of three-dimensional orthogonal magnetic dipole instead of using complex machine learning techniques or setting up the targets library for comparison. The experimental results show that the addition of 15% Gaussian white noise to the synthetic data can still lead to convergence to an optimal solution and classify the subsurface targets quickly and accurately, it demonstrates the effectiveness of the method proposed herein.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Wupeng Xie
AU  - Xiaojuan Zhang
AU  - Yaxin Mu
PY  - 2019/01
DA  - 2019/01
TI  - A Novel Classification Method for Subsurface Targets
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 101
EP  - 104
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.24
DO  - 10.2991/mmssa-18.2019.24
ID  - Xie2019/01
ER  -