publications:annualreports:saig_22

SAIG-22 (2021)

SAIG 22 (2021) Annual Report

Complete annual report as a single file (222 MB)

SAIG 22 (2021) Annual Report

Complete annual report as a single file (Compressed PDF 79 MB)

Individual Chapters

SAIG 22-1 (2021) Breno Bahia

Neural estimation of local slopes

SAIG 22-2 (2021) Kristian Torres

Least-squares reverse-time migration via deep learning- based updating operators

SAIG 22-3 (2021) Kristian Torres

Deep null space regularization for seismic inverse prob- lems

SAIG 22-4 (2021) Hongling Chen

Nonstationary Seismic Reflectivity Inversion Based on Prior-engaged Mixed Dimensional Deep Learning Method

SAIG 22-5 (2021) Dawei Liu

Efficient seismic scattered noise attenuation in OVT domain: application of deep learning

SAIG 22-6 (2021) Rafael Manenti

Prestack data reconstruction via CUR decomposition

SAIG 22-7 (2021) Yi Guo

Data-driven optimal sparse seismic acquisition design

SAIG 22-8 (2021) Ji Li

Robust reconstruction via Orthogonal Matching Pursuit with Fourier transform

SAIG 22-9 (2021) Alejandro Quiaro

SNR based automatic rank determination and its appli- cation for de-noising using MSSA

SAIG 22-10 (2021) Rongzhi Lin

Iterative 3D deblending and reconstruction with inter- polated MSSA (I-MSSA) for arbitrary irregular com- pressive simultaneous-source acquisition

SAIG 22-11 (2021) Rongzhi Lin

A comparative study of seismic reconstruction for arbi- trary irregular-grid acquisition: I-FMSSA vs. EPOCS

SAIG 22-12 (2021) Joaquin Acedo

Compressed Sensing and Sparsity Promoting Inversion

©2015 Signal Analysis and Imaging Group

publications/annualreports/saig_22.txt · Last modified: 2022/02/02 02:39 by msacchi