Physics-Driven Resolution Refinement for Electrical Resistivity Tomography Using Multiarray Learning and Vision Mamba
Electrical resistivity tomography (ERT) inversion is inherently nonlinear and ill-posed, and conventional algorithms often suffer from limited resolution due to their dependence on initial models and regularization. Recent deep learning (DL)-based approaches have shown potential for resolution enhancement but purely da...