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 Oct
Container: IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council
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 transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council},
  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 transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council
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 transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council. https://doi.org/10.1109/tits.2024.3431452

Source records

pubmed · retrieved 2026-09-25T17:48:16.564Z