Land-use classification based on high-resolution remote sensing imagery and deep learning models

Mengmeng Hao, Xiaohan Dong, Dong Jiang, Xianwen Yu, Fangyu Ding, Jun Zhuo

Open source

DOI: 10.1371/journal.pone.0300473
Published: 2024-04-18
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0300473,
  title = {Land-use classification based on high-resolution remote sensing imagery and deep learning models},
  author = {Mengmeng Hao and Xiaohan Dong and Dong Jiang and Xianwen Yu and Fangyu Ding and Jun Zhuo},
  year = {2024},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0300473},
  url = {https://doi.org/10.1371/journal.pone.0300473}
}

RIS

TY  - JOUR
TI  - Land-use classification based on high-resolution remote sensing imagery and deep learning models
AU  - Mengmeng Hao
AU  - Xiaohan Dong
AU  - Dong Jiang
AU  - Xianwen Yu
AU  - Fangyu Ding
AU  - Jun Zhuo
PY  - 2024
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0300473
UR  - https://doi.org/10.1371/journal.pone.0300473
ER  -

APA

Hao, M., Dong, X., Jiang, D., Yu, X., Ding, F., & Zhuo, J. (2024). Land-use classification based on high-resolution remote sensing imagery and deep learning models. PLOS ONE. https://doi.org/10.1371/journal.pone.0300473

Source records

crossref · retrieved 2026-09-25T12:22:48.804Z