Transient Electromagnetic Machine Learning Inversion Based on Pseudo Wave Field Data-Reference-Cited by-同舟云学术

Transient Electromagnetic Machine Learning Inversion Based on Pseudo Wave Field Data

Published:2022 Issue: Volume:60 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Jian¹^ORCID,Zhang Yang¹^ORCID,Lin Tingting¹^ORCID

Affiliation:

1. Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jilin Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09810264.pdf?arnumber=9810264

Reference34 articles.

1. Landslide monitoring in southwestern China via time-lapse electrical resistivity tomography

2. An integrated geophysical approach for investigating hydro-geological characteristics of a debris landslide in the Wenchuan earthquake area

3. Characterizing the 3D hydrogeological structure of a debris landslide using the transient electromagnetic method

4. Characterisation of subglacial water using a constrained transdimensional Bayesian transient electromagnetic inversion

5. Occam’s inversion: A practical algorithm for generating smooth models from electromagnetic sounding data

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