Subsurface Exploration: Recent Advances in Geo-Signal Processing, Interpretation, and Learning [From the Guest Editors]

The articles in this special section focus on subsurface exploration using new geo-signaling technologies. For centuries, humans have been exploring the subsurface structure of planet Earth. Several Earth geophysical applications, such as mining, earthquake studies, and oil and gas exploration, have...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE signal processing magazine Jg. 35; H. 2; S. 16 - 18
Hauptverfasser: AlRegib, Ghassan, Fomel, Sergey, Lopes, Renato
Format: Magazine Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Digital signal processors
Earth
Geophysics
Geospatial analysis
Image acquisition
Image resolution
Machine learning
Natural gas
Natural gas exploration
Oil exploration
Remote sensing
Signal processing
Signaling
Special issues and sections
ISSN:1053-5888, 1558-0792
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The articles in this special section focus on subsurface exploration using new geo-signaling technologies. For centuries, humans have been exploring the subsurface structure of planet Earth. Several Earth geophysical applications, such as mining, earthquake studies, and oil and gas exploration, have driven research that produced, over the years, ground-breaking theories and innovative technologies that image Earth’s subsurface. The pursuit is ongoing with an increasing desire to have higher-resolution subsurface models and images. Signal processing, data interpretation, and modeling have been the cornerstones of such innovations. In recent years, there have been advances in technologies and requirements that demand the utilization of advanced signal processing and machine-learning theories and algorithms. For example, the wide- and full-azimuth acquisition technologies have proven to be instrumental in providing high-resolution subsurface images.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1053-5888
1558-0792
DOI:10.1109/MSP.2017.2786838