2 papers
cs.LG2025
DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal
Shuang Wang, Ming Guo, Xuben Wang +4
The semi-airborne transient electromagnetic method (SATEM) is capable of conducting rapid surveys over large-scale and hard-to-reach areas. However, the acquired signals are often…
cs.LG2025
Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
Shuang Wang, Xuben Wang, Fei Deng +3
The extraction of geoelectric structural information from airborne transient electromagnetic (ATEM) data primarily involves data processing and inversion. Conventional methods rely…