Seismic Data Interpolation Using Dual-Domain Conditional Generative Adversarial Networks

Seismic data interpolation is an effective way to reconstruct missing seismic traces and to improve the quality of the seismic data set. In the field of deep learning, generative adversarial networks are capable of data generation and interpolation and have been widely used for high-quality image generations and image interpolations. In this letter, we propose a dual-domain conditional generative ...