A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images.

Liu X, Li Y, Sizemore L, Xie X, Wu J.

DOI: 10.1109/tits.2024.3431452
Published: 2024-08-29
Container: IEEE trans Intell Transp Syst
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/tits.2024.3431452,
  title = {A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images.},
  author = {Liu X and  Li Y and  Sizemore L and  Xie X and  Wu J.},
  year = {2024},
  journal = {IEEE trans Intell Transp Syst},
  doi = {10.1109/tits.2024.3431452},
  url = {https://doi.org/10.1109/tits.2024.3431452}
}

RIS

TY  - JOUR
TI  - A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images.
AU  - Liu X
AU  -  Li Y
AU  -  Sizemore L
AU  -  Xie X
AU  -  Wu J.
PY  - 2024
JO  - IEEE trans Intell Transp Syst
DO  - 10.1109/tits.2024.3431452
UR  - https://doi.org/10.1109/tits.2024.3431452
ER  -

APA

X, L., Y, L., L, S., X, X., & J., W. (2024). A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images.. IEEE trans Intell Transp Syst. https://doi.org/10.1109/tits.2024.3431452

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europe-pmc · retrieved 2026-11-10T14:53:36.190Z