Interpretation of Frequency-Domain Airborne Electromagnetic Data Based on the Deep Neural Network Incorporating Topographic Information

Author:

Bang Minkyu1ORCID,Seol Soon Jee1ORCID,Byun Joongmoo1ORCID

Affiliation:

1. Earth Resources and Environmental Engineering (EREE) Department, Hanyang University, Seoul, South Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea

National Research Foundation of Korea (NRF) through the Korean Government

Reservoir Imaging with Seismic and EM Technology using Machine Learning (RISE.ML) Consortium at Hanyang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference24 articles.

1. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

2. Farewell electromagnetic, magnetic, and radiometric airborne geophysical survey data compilation

3. Image Quality Assessment: From Error Visibility to Structural Similarity

4. An integrated approach with Dighem V to groundwater exploration? Tsabong, Botswana;leeming;Proc 15th ASEG Conf Exhib,2001

5. Numerical evaluation of active source magnetics as a method for imaging high-resolution near-surface magnetic heterogeneity

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