Electromagnetic exploration is one of the earliest and most widely used geophysical exploration techniques. Electromagnetic methods, such as magnetotelluric (MT), audio magnetotelluric (AMT), transient electromagnetic method (TEM), and controlled source electromagnetic method (CSEM), have made a great contribution to industrialization and urbanization by discovering underground deposits of various resources.
Driven by the latest progress in electronics and intelligent algorithms, electromagnetic exploration is developing at a high speed. Many challenges faced by traditional geophysical methods are now solvable. Emerging sensing technology and signal processing technology greatly improves the accuracy of electromagnetic methods in many applications. At the same time, such technologies promoted the development of new geophysical theories and methods.
This Research Topic will focus on the latest innovations in electromagnetic geophysical applications, especially those involving new data processing and analysis techniques. We encourage experts from geophysics, computer science, mathematics, applied physics, and other relevant fields to participate in the Research Topic to exchange ideas and develop visions. We invite the submission of both original research and review articles. Potential topics include but are not limited to:
• Electromagnetic exploration methods and their applications;
• Numerical simulation and inversion;
• Data processing and application;
• Sparse representation and dictionary learning;
• Artificial intelligence, machine learning, and deep learning;
• Time-frequency analysis;
• Denoising algorithm and optimization;
• Fusion of traditional and intelligent algorithm
Electromagnetic exploration is one of the earliest and most widely used geophysical exploration techniques. Electromagnetic methods, such as magnetotelluric (MT), audio magnetotelluric (AMT), transient electromagnetic method (TEM), and controlled source electromagnetic method (CSEM), have made a great contribution to industrialization and urbanization by discovering underground deposits of various resources.
Driven by the latest progress in electronics and intelligent algorithms, electromagnetic exploration is developing at a high speed. Many challenges faced by traditional geophysical methods are now solvable. Emerging sensing technology and signal processing technology greatly improves the accuracy of electromagnetic methods in many applications. At the same time, such technologies promoted the development of new geophysical theories and methods.
This Research Topic will focus on the latest innovations in electromagnetic geophysical applications, especially those involving new data processing and analysis techniques. We encourage experts from geophysics, computer science, mathematics, applied physics, and other relevant fields to participate in the Research Topic to exchange ideas and develop visions. We invite the submission of both original research and review articles. Potential topics include but are not limited to:
• Electromagnetic exploration methods and their applications;
• Numerical simulation and inversion;
• Data processing and application;
• Sparse representation and dictionary learning;
• Artificial intelligence, machine learning, and deep learning;
• Time-frequency analysis;
• Denoising algorithm and optimization;
• Fusion of traditional and intelligent algorithm
