HSFAN: A Dual-Branch Hybrid-Scale Feature Aggregation Network for Remote Sensing Image Super-Resolution.

Yang J, Ren H, Zeng M, He Z

DOI: 10.3390/e27121189
Published: 2025 Nov 24
Container: Entropy (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/e27121189,
  title = {HSFAN: A Dual-Branch Hybrid-Scale Feature Aggregation Network for Remote Sensing Image Super-Resolution.},
  author = {Yang J and Ren H and Zeng M and He Z},
  year = {2025},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e27121189},
  url = {https://doi.org/10.3390/e27121189}
}

RIS

TY  - JOUR
TI  - HSFAN: A Dual-Branch Hybrid-Scale Feature Aggregation Network for Remote Sensing Image Super-Resolution.
AU  - Yang J
AU  - Ren H
AU  - Zeng M
AU  - He Z
PY  - 2025
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e27121189
UR  - https://doi.org/10.3390/e27121189
ER  -

APA

J, Y., H, R., M, Z., & Z, H. (2025). HSFAN: A Dual-Branch Hybrid-Scale Feature Aggregation Network for Remote Sensing Image Super-Resolution.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e27121189

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pubmed · retrieved 2026-09-25T13:37:19.416Z