Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 57 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

A Fast Denoising Dataset-Generation Method for Ground Penetrating Radar Based on a Transformer Network Constrained by an Underground Clutter Physical Model

  • Yuxuan Wu1
  • Xiaole Ma2
  • Feng Shen1
  • Yijie Wang3
  1. 1The School of Instrumentation Science and Engineering, , Harbin 150001, China;
  2. 2Suzhou Foreign Language School, Suzhou 215129, China;
  3. 3The School of Electrical Engineering and Automation, , Harbin 150001, China;
Read full textPDFCite

Related

  1. Site-orbit masked twin-branch Transformer for symmetry-constrained crystal generation
    Junchi Liu, Haoran Si, Luo Yan +2
    arXivPreprintarXiv licenceFull textComputational physicsCondensed matterarXiv
  2. YOLO vs. diffusion networks for underground pipe detection: a case study using ground penetrating radar data
    Doaa N. Senousy, Omar M. Saad, Shereen M. Ebrahim +2
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  3. HQDeTransformer: hybrid quantum denoising Transformer for time series forecasting
    Seon-Geun Jeong, Kyeong-Hwan Moon, Won-Joo Hwang
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  4. Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion
    Runyu Zhang, Jiawei Zhang, Gioele Zardini +2
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  5. PANDA: Protein All-atom Nested-tree Denoising Architecture for End-to-End Generation
    J. Bai, H. Jiang
    bioRxivPreprintCC BYFull textMolecular biology & gene regulationbioRxiv

Cite

BibTeXRIS
BibTeX
@article{wu2026fast,
  title = {{A Fast Denoising Dataset-Generation Method for Ground Penetrating Radar Based on a Transformer Network Constrained by an Underground Clutter Physical Model}},
  author = {Yuxuan Wu and Xiaole Ma and Feng Shen and Yijie Wang},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13708905},
  note = {CC BY},
}
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  - Yuxuan Wu
AU  - Xiaole Ma
AU  - Feng Shen
AU  - Yijie Wang
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13708905
SN  - 1424-8220
ER  -