activity
20182020
most citedSubsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

74 citations · 86 across the 6 of their papers we have counts for

collaborators

7 papers

eess.IV202012 cited

Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor

Yuting Hu, Zhen Wang, Ghassan AlRegib

In this paper, we present an efficient and distinctive local descriptor, namely block intensity and gradient difference (BIGD). In an image patch, we randomly sample multi-scale bl…

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…

eess.IV2019

Tensor-based subspace learning for tracking salt-dome boundaries

Zhen Wang, Zhiling Long, Ghassan AlRegib

The exploration of petroleum reservoirs has a close relationship with the identification of salt domes. To efficiently interpret salt-dome structures, in this paper, we propose a m…

eess.IV2018

Noise-robust detection and tracking of salt domes in postmigrated volumes using texture, tensors, and subspace learning

Zhen Wang, Tamir Hegazy, Zhiling Long +1

The identification of salt dome boundaries in migrated seismic data volumes is important for locating petroleum reservoirs. The presence of noise in the data makes computer-aided s…

cs.CV201874 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…