Salvato in:
| Autore principale: | |
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| Natura: | Recurso digital |
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| Pubblicazione: |
Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.19449052 |
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Sommario:
- <p>This repository provides the implementation accompanying the manuscript "Seismic Deblending via an Adjacent-CRG-Assisted Multistep Deep Learning Framework."</p> <p>The proposed framework effectively separates blended seismic signals by leveraging the spatial coherence of adjacent Common Receiver Gathers (CRGs). By achieving deblending through a multistep deep learning approach, our method significantly improves the recovery of high-quality seismic records from strong interference.</p> <p>This open-source release aims to support reproducibility and facilitate further research in AI-driven seismic data processing.</p>