Unsupervised Learning for Seismic Internal Multiple Suppression Based on Adaptive Virtual Events
Author:
Affiliation:
1. Center for Artificial Intelligence Geoscience, School of Earth and Space Sciences, Peking University, Beijing, China
2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09761928.pdf?arnumber=9761928
Reference49 articles.
1. Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction
2. U-Net: Convolutional Networks for Biomedical Image Segmentation
3. Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network
4. Fully Character-Level Neural Machine Translation without Explicit Segmentation
5. A modified feature selection method based on metaheuristic algorithms for speech emotion recognition
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