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publications:annualreports:saig_22 [2022/02/01 21:59] msacchi |
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====== Individual Chapters ====== | ====== Individual Chapters ====== | ||
- | <fc #008000>SAIG 22-1 (2022) Breno Bahia</fc>\\ | + | <fc #008000>SAIG 22-1 (2021) Breno Bahia</fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_01.pdf |Neural estimation of local slopes }} | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_01.pdf |Neural estimation of local slopes }} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-2 (2022) Kristian Torres </fc>\\ | + | <fc #008000>SAIG 22-2 (2021) Kristian Torres </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_02.pdf | Least-squares reverse-time migration via deep learning- | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_02.pdf | Least-squares reverse-time migration via deep learning- | ||
based updating operators }} | based updating operators }} | ||
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- | <fc #008000>SAIG 22-3 (2022) Kristian Torres </fc>\\ | + | <fc #008000>SAIG 22-3 (2021) Kristian Torres </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_03.pdf | Deep null space regularization for seismic inverse prob- | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_03.pdf | Deep null space regularization for seismic inverse prob- | ||
lems}} | lems}} | ||
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- | <fc #008000>SAIG 22-4 (2022) Hongling Chen </fc>\\ | + | <fc #008000>SAIG 22-4 (2021) Hongling Chen </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_04.pdf | Nonstationary Seismic Reflectivity Inversion Based on Prior-engaged Mixed Dimensional Deep Learning Method }} | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_04.pdf | Nonstationary Seismic Reflectivity Inversion Based on Prior-engaged Mixed Dimensional Deep Learning Method }} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-5 (2022) Dawei Liu</fc>\\ | + | <fc #008000>SAIG 22-5 (2021) Dawei Liu</fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_05.pdf | Efficient seismic scattered noise | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_05.pdf | Efficient seismic scattered noise | ||
attenuation in OVT domain: application of deep learning }} | attenuation in OVT domain: application of deep learning }} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-6 (2022) Rafael Manenti </fc>\\ | + | <fc #008000>SAIG 22-6 (2021) Rafael Manenti </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_06.pdf | Prestack data reconstruction via CUR decomposition }} | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_06.pdf | Prestack data reconstruction via CUR decomposition }} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-7 (2022) Yi Guo </fc>\\ | + | <fc #008000>SAIG 22-7 (2021) Yi Guo </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_07.pdf | Data-driven optimal sparse seismic acquisition design}} | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_07.pdf | Data-driven optimal sparse seismic acquisition design}} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-8 (2022) Ji Li </fc>\\ | + | <fc #008000>SAIG 22-8 (2021) Ji Li </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_08.pdf | Robust reconstruction via Orthogonal Matching Pursuit | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_08.pdf | Robust reconstruction via Orthogonal Matching Pursuit | ||
with Fourier transform }} | with Fourier transform }} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-9 (2022) Alejandro Quiaro </fc>\\ | + | <fc #008000>SAIG 22-9 (2021) Alejandro Quiaro </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_09.pdf |SNR based automatic rank determination and its appli- | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_09.pdf |SNR based automatic rank determination and its appli- | ||
cation for de-noising using MSSA }} | cation for de-noising using MSSA }} | ||
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- | <fc #008000>SAIG 22-10 (2022) Rongzhi Lin </fc>\\ | + | <fc #008000>SAIG 22-10 (2021) Rongzhi Lin </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_10.pdf | Iterative 3D deblending and reconstruction with inter- | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_10.pdf | Iterative 3D deblending and reconstruction with inter- | ||
polated MSSA (I-MSSA) for arbitrary irregular com- | polated MSSA (I-MSSA) for arbitrary irregular com- | ||
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- | <fc #008000>SAIG 22-11 (2022) Rongzhi Lin </fc>\\ | + | <fc #008000>SAIG 22-11 (2021) Rongzhi Lin </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_11.pdf | A comparative study of seismic reconstruction for arbi- | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_11.pdf | A comparative study of seismic reconstruction for arbi- | ||
trary irregular-grid acquisition: I-FMSSA vs. EPOCS }} | trary irregular-grid acquisition: I-FMSSA vs. EPOCS }} | ||
</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-12 (2022) Joaquin Acedo </fc>\\ | + | <fc #008000>SAIG 22-12 (2021) Joaquin Acedo </fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_12.pdf | Compressed Sensing and Sparsity Promoting Inversion }} | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_12.pdf | Compressed Sensing and Sparsity Promoting Inversion }} | ||
</WRAP> | </WRAP> |