Search Results for author:
Found 7 papers, 3 papers with code
Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection
Images from the selected clusters are used to train the encoder-decoder network.
Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping
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.
Characterization of migrated seismic volumes using texture attributes: a comparative study
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.
Multiresolution Analysis and Learning for Computational Seismic Interpretation
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
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.
A comparative study of texture attributes for characterizing subsurface structures in seismic volumes
We focus on spatial attributes in this study and examine them in a new application for seismic interpretation, i. e., seismic volume labeling.
Content-adaptive non-parametric texture similarity measure
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
