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20182022
most citedSubsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

74 citations · 74 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

A novel attention model for salient structure detection in seismic volumes

Muhammad Amir Shafiq, Zhiling Long, Haibin Di +1

A new approach to seismic interpretation is proposed to leverage visual perception and human visual system modeling. Specifically, a saliency detection algorithm based on a novel a…

cs.CV2019

Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons

Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi +1

In this paper, we propose a novel approach for saliency detection for seismic applications using 3D-FFT local spectra and multi-dimensional plane projections. We develop a projecti…

cs.CV2019

SalSi: A new seismic attribute for salt dome detection

Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long +1

In this paper, we propose a saliency-based attribute, SalSi, to detect salt dome bodies within seismic volumes. SalSi is based on the saliency theory and modeling of the human visi…

cs.CV2018

The role of visual saliency in the automation of seismic interpretation

Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long +1

In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes. SalSi is a seismic attribute designed based on th…

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…