Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion

Zeren Zhang, Ran Chen, Jinwen Ma

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DOI: 10.3390/rs16050922
Published: 2024-03-06
Container: Remote Sensing
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/rs16050922,
  title = {Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion},
  author = {Zeren Zhang and Ran Chen and Jinwen Ma},
  year = {2024},
  journal = {Remote Sensing},
  doi = {10.3390/rs16050922},
  url = {https://doi.org/10.3390/rs16050922}
}

RIS

TY  - JOUR
TI  - Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion
AU  - Zeren Zhang
AU  - Ran Chen
AU  - Jinwen Ma
PY  - 2024
JO  - Remote Sensing
DO  - 10.3390/rs16050922
UR  - https://doi.org/10.3390/rs16050922
ER  -

APA

Zhang, Z., Chen, R., & Ma, J. (2024). Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion. Remote Sensing. https://doi.org/10.3390/rs16050922

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crossref · retrieved 2026-09-26T14:23:29.068Z