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Ghassan Al-Regib

2 accepted papers

2018

Fault Detection Using Attention Models Based on Visual Saliency

ICASSP 2018accepted

In this paper, we present an approach for detecting faults within seismic volumes using a saliency detection framework that employs a 3D-FFT local spectra and multi-dimensional plane projections. The projection scheme divides a 3D-FFT local spectrum into three distinct components, each depicting var…

Cited by 0SourceScholar
2016

Tensor-based subspace learning for tracking salt-dome boundaries constrained by seismic attributes

ICASSP 2016accepted

We propose a method to delineate salt-dome structures by tracking manually labeled boundaries through seismic volumes. We first extract texture features from boundary regions using the tensor-based subspace learning method. Then, we utilize one seismic attribute, the gradient of texture (GoT), as a…

Cited by 0SourceScholar