Search Results for author: Yazeed Alaudah

Found 7 papers, 3 papers with code

Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping

no code implementations16 May 2019 Yazeed Alaudah, Motaz Alfarraj, Ghassan AlRegib

By having an interpreter select a very small number of exemplar images for every class of subsurface structures, we use a novel similarity-based retrieval technique to extract thousands of images that contain similar subsurface structures from the seismic volume.

BIG-bench Machine Learning Retrieval +1

Characterization of migrated seismic volumes using texture attributes: a comparative study

no code implementations30 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.

Image Retrieval Retrieval +2

Multiresolution Analysis and Learning for Computational Seismic Interpretation

1 code implementation24 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

A Machine Learning Benchmark for Facies Classification

5 code implementations12 Jan 2019 Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj, Ghassan AlRegib

In addition to making the dataset and the code publicly available, this work helps advance research in this area by creating an objective benchmark for comparing the results of different machine learning approaches for facies classification.

BIG-bench Machine Learning Classification +3

Content-adaptive non-parametric texture similarity measure

1 code implementation5 Nov 2018 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 truncation of the singular values.

Image and Video Processing

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