1 code implementation • 24 Jan 2019 • Motaz Alfarraj, Yazeed Alaudah, Zhiling Long, Ghassan AlRegib
Moreover, directional multiresolution attributes, such as the curvelet transform, are more effective than the non-directional attributes in distinguishing different subsurface structures in large seismic datasets, and can greatly help the interpretation process.
Image and Video Processing Geophysics
1 code implementation • 23 May 2019 • Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a multi-level texture encoding and representation network (MuLTER) for texture-related applications.
no code implementations • 19 Dec 2018 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed Deriche, Suhail Al-Dharrab, Haibin Di
We focus on spatial attributes in this study and examine them in a new application for seismic interpretation, i. e., seismic volume labeling.
no code implementations • 31 Dec 2018 • Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib
In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes.
no code implementations • 6 Jan 2019 • Tariq Alshawi, Zhiling Long, Ghassan AlRegib
Based on the study, we then develop an algorithm that estimates a pixel-wise uncertainty map that reflects our confidence in the associated computational saliency map by relating a pixel's saliency to the saliency of its neighbors.
no code implementations • 9 Jan 2019 • Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib
In this paper, we propose a saliency-based attribute, SalSi, to detect salt dome bodies within seismic volumes.
no code implementations • 30 Jan 2019 • Tariq Alshawi, Zhiling Long, Ghassan AlRegib
In this paper, we present an analysis of recorded eye-fixation data from human subjects viewing video sequences.
no code implementations • 30 Jan 2019 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Motaz Al Farraj, Zhen Wang, Asjad Amin, Mohamed Deriche, Ghassan AlRegib
It is our hope that this comparative study will help acquaint the seismic interpretation community with the many available powerful image texture analysis techniques, providing more alternative attributes for their seismic exploration.
no code implementations • 30 Jan 2019 • Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib
In this paper, we propose a novel approach for saliency detection for seismic applications using 3D-FFT local spectra and multi-dimensional plane projections.
no code implementations • 16 Mar 2020 • Yuting Hu, Zhiling Long, Anirudha Sundaresan, Motaz Alfarraj, Ghassan AlRegib, Sungmee Park, Sundaresan Jayaraman
We formulate the problem as a very fine-grained texture classification problem, and study how deep learning-based texture representation techniques can help tackle the task.
no code implementations • 17 Jan 2022 • Muhammad Amir Shafiq, Zhiling Long, Haibin Di, Ghassan AlRegib
Subsequently, a novel directional center-surround attention model is proposed to incorporate directional comparisons around each voxel for saliency detection within each projected dimension.