ACMNet: An attention-convolution mixed neural network for semantic segmentation of high-resolution remote sensing images

Shangkun Yu, Leijuan Yu, Tingting Wang, Rui Hu, Chengxin Wang

Open source

DOI: 10.1371/journal.pone.0358021
Published: 2026-11-06
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.0358021,
  title = {ACMNet: An attention-convolution mixed neural network for semantic segmentation of high-resolution remote sensing images},
  author = {Shangkun Yu and Leijuan Yu and Tingting Wang and Rui Hu and Chengxin Wang},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0358021},
  url = {https://doi.org/10.1371/journal.pone.0358021}
}

RIS

TY  - JOUR
TI  - ACMNet: An attention-convolution mixed neural network for semantic segmentation of high-resolution remote sensing images
AU  - Shangkun Yu
AU  - Leijuan Yu
AU  - Tingting Wang
AU  - Rui Hu
AU  - Chengxin Wang
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0358021
UR  - https://doi.org/10.1371/journal.pone.0358021
ER  -

APA

Yu, S., Yu, L., Wang, T., Hu, R., & Wang, C. (2026). ACMNet: An attention-convolution mixed neural network for semantic segmentation of high-resolution remote sensing images. PLOS One. https://doi.org/10.1371/journal.pone.0358021

Source records

crossref · retrieved 2026-11-08T06:40:58.849Z