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

74 citations · 188 across the 9 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.IV2019★ 35 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.IV2019★ 15 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-ph2019★ 5 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-ph2019★ 41 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…

eess.IV2019

A Machine Learning Benchmark for Facies Classification

Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj +1

The recent interest in using deep learning for seismic interpretation tasks, such as facies classification, has been facing a significant obstacle, namely the absence of large publ…

cs.CV2018★ 74 cited

Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

G. AlRegib, M. Deriche, Z. Long +5

Understanding Earth's subsurface structures has been and continues to be an essential component of various applications such as environmental monitoring, carbon sequestration, and…

cs.CV2018

A comparative study of texture attributes for characterizing subsurface structures in seismic volumes

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +8

In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a…

eess.IV2018★ 18 cited

Content-adaptive non-parametric texture similarity measure

Motaz Alfarraj, Yazeed Alaudah, Ghassan AlRegib

In this paper, we introduce a non-parametric texture similarity measure based on the singular value decomposition of the curvelet coefficients followed by a content-based truncatio…