Deep learning-based 3D gravity inversion: a comparative analysis of CNN architectures for density estimation
Deep learning (DL)-based three-dimensional (3D) gravity inversion has emerged as a promising approach for subsurface density reconstruction in near-surface resource exploration, offering significantly lower computational cost than conventional inversion methods for large datasets. However, existing convolutional neural...