An end-to-end deep learning image compression method for satellite images based on entropy model.

Gao Y, Xu H, Huang W, Bai H, Peng B, Xu H

DOI: 10.1371/journal.pone.0355234
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0355234,
  title = {An end-to-end deep learning image compression method for satellite images based on entropy model.},
  author = {Gao Y and Xu H and Huang W and Bai H and Peng B and Xu H},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0355234},
  url = {https://doi.org/10.1371/journal.pone.0355234}
}

RIS

TY  - JOUR
TI  - An end-to-end deep learning image compression method for satellite images based on entropy model.
AU  - Gao Y
AU  - Xu H
AU  - Huang W
AU  - Bai H
AU  - Peng B
AU  - Xu H
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0355234
UR  - https://doi.org/10.1371/journal.pone.0355234
ER  -

APA

Y, G., H, X., W, H., H, B., B, P., & H, X. (2026). An end-to-end deep learning image compression method for satellite images based on entropy model.. PloS one. https://doi.org/10.1371/journal.pone.0355234

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pubmed · retrieved 2026-09-26T03:50:19.998Z