An Efficient Seismic Data Acquisition Based on Compressed Sensing Architecture With Generative Adversarial Networks

An Efficient Seismic Data Acquisition Based on Compressed Sensing Architecture With Generative Adversarial Networks

Recently, large scale seismic data acquisition has been a critical method for scientific research and industrial production. However, due to the bottleneck on data transmission and the limitation of energy storage, it is hard to conduct large seismic data acquisition in a real-time way. So, in this...

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Bibliographic Details
Main Authors: Xiaopu Zhang, Shuai Zhang, Jun Lin, Feng Sun, Xi Zhu, Yang Yang, Xunqian Tong, Hongyuan Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Compressed sensing (CS)
generative adversarial networks (GAN)
dictionary learning
seismic data acquisition
Online Access:https://ieeexplore.ieee.org/document/8784224/

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