Multiattribute fusion-based level sets for caves segmentation
Author:
Affiliation:
1. University of Electronic Science and Technology of China
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2016-13818294.1
Reference10 articles.
1. Barnes, A. E., 2000, Attributes for automated seismic facies analysis: 70th Annual International Meeting, SEG, Expanded Abstracts, 553–556, 10.1190/1.1816121.
2. Active Contours without Edges for Vector-Valued Images
3. Seismic attributes — A historical perspective
4. Volume texture extraction for 3D seismic visualization and interpretation
5. Halpert, A. D., R. G. Clapp, and B. Biondi, 2009, Seismic image segmentation with multiple attributes: 79th Annual International Meeting, SEG, Expanded Abstracts, 3700–3704, 10.1190/1.3255637.
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1. Karst cave detection and prediction by using two fully convolutional neural networks;SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021;2022-02-24
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