A Fast Denoising Dataset-Generation Method for Ground Penetrating Radar Based on a Transformer Network Constrained by an Underground Clutter Physical Model.
- DOI
- 10.3390/s26206501
- Published
- 2026 Oct 14
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26206501,
title = {A Fast Denoising Dataset-Generation Method for Ground Penetrating Radar Based on a Transformer Network Constrained by an Underground Clutter Physical Model.},
author = {Wu Y and Ma X and Shen F and Wang Y},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26206501},
url = {https://doi.org/10.3390/s26206501}
}RIS
TY - JOUR TI - A Fast Denoising Dataset-Generation Method for Ground Penetrating Radar Based on a Transformer Network Constrained by an Underground Clutter Physical Model. AU - Wu Y AU - Ma X AU - Shen F AU - Wang Y PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26206501 UR - https://doi.org/10.3390/s26206501 ER -
APA
Y, W., X, M., F, S., & Y, W. (2026). A Fast Denoising Dataset-Generation Method for Ground Penetrating Radar Based on a Transformer Network Constrained by an Underground Clutter Physical Model.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26206501
Source records
- pubmed · retrieved 2026-11-10T08:04:37.386Z