activity
20182021
most citedSubsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

74 citations · 170 across the 8 of their papers we have counts for

collaborators

10 papers

physics.geo-ph2021

Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection

Oluwaseun Joseph Aribido, Ghassan AlRegib, Yazeed Alaudah

We developed two machine learning frameworks that could assist in automated litho-stratigraphic interpretation of seismic volumes without any manual hand labeling from an experienc…

eess.IV201935 cited

Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping

Yazeed Alaudah, Motaz Alfarraj, Ghassan AlRegib

Recently, there has been significant interest in various supervised machine learning techniques that can help reduce the time and effort consumed by manual interpretation workflows…

eess.IV201915 cited

Multiresolution Analysis and Learning for Computational Seismic Interpretation

Motaz Alfarraj, Yazeed Alaudah, Zhiling Long +1

We explore the use of multiresolution analysis techniques as texture attributes for seismic image characterization, especially in representing subsurface structures in large migrat…

cs.CV2019

Characterization of migrated seismic volumes using texture attributes: a comparative study

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +5

In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrat…

physics.geo-ph20195 cited

A Directional Coherence Attribute for Seismic Interpretation

Yazeed Alaudah, Ghassan AlRegib

The coherence attribute is one of the most commonly used attributes in seismic interpretation. In this paper, we propose building on the recently introduced Generalized Tensor-base…

physics.geo-ph201941 cited

Learning to Label Seismic Structures with Deconvolution Networks and Weak Labels

Yazeed Alaudah, Shan Gao, Ghassan AlRegib

Recently, there has been increasing interest in using deep learning techniques for various seismic interpretation tasks. However, unlike shallow machine learning models, deep learn…