Explainable seismic neural networks using learning statistics
Author:
Affiliation:
1. Georgia Institute of Technology
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2021-3583675.1
Reference21 articles.
1. Learning to label seismic structures with deconvolution networks and weak labels
2. A machine-learning benchmark for facies classification
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4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
5. Multi-attribute k-means clustering for salt-boundary delineation from three-dimensional seismic data
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1. Explainable artificial intelligence‐driven mask design for self‐supervised seismic denoising;Geophysical Prospecting;2024-01-27
2. Explainable Deep Learning for Supervised Seismic Facies Classification Using Intrinsic Method;IEEE Transactions on Geoscience and Remote Sensing;2023
3. Volumetric supervised contrastive learning for seismic semantic segmentation;Second International Meeting for Applied Geoscience & Energy;2022-08-15
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