A Deep Learning Driven Adaptive Regularization Geoelectrical Inversion Framework
Abstract
An adaptive regularization inversion framework that integrates deep learning regularization network and imaging enhancement network to compensate for resolution loss caused by electromagnetic diffusion and to realize structural constraints and boundary reinforcement of resistivity model.
Fields of Study & Subjects
Geophysical and Geoelectrical Methods
Electrical and Bioimpedance Tomography
Seismic Imaging and Inversion Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026