Optimizing deep neural networks for high-resolution land cover classification through data augmentation.
- DOI
- 10.1007/s10661-025-13870-5
- Published
- 2025 Mar 18
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-025-13870-5,
title = {Optimizing deep neural networks for high-resolution land cover classification through data augmentation.},
author = {Sierra S and Ramo R and Padilla M and Cobo A},
year = {2025},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-025-13870-5},
url = {https://doi.org/10.1007/s10661-025-13870-5}
}RIS
TY - JOUR TI - Optimizing deep neural networks for high-resolution land cover classification through data augmentation. AU - Sierra S AU - Ramo R AU - Padilla M AU - Cobo A PY - 2025 JO - Environmental monitoring and assessment DO - 10.1007/s10661-025-13870-5 UR - https://doi.org/10.1007/s10661-025-13870-5 ER -
APA
S, S., R, R., M, P., & A, C. (2025). Optimizing deep neural networks for high-resolution land cover classification through data augmentation.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-025-13870-5
Source records
- pubmed · retrieved 2026-09-25T08:51:26.774Z
- europe-pmc · retrieved 2026-09-25T08:51:26.765Z