Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models
- DOI
- 10.1109/tgrs.2022.3141996
- Published
- 2022
- Container
- IEEE Transactions on Geoscience and Remote Sensing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tgrs.2022.3141996,
title = {Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models},
author = {Martina Pastorino and Gabriele Moser and Sebastiano B. Serpico and Josiane Zerubia},
year = {2022},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
doi = {10.1109/tgrs.2022.3141996},
url = {https://doi.org/10.1109/tgrs.2022.3141996}
}RIS
TY - JOUR TI - Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models AU - Martina Pastorino AU - Gabriele Moser AU - Sebastiano B. Serpico AU - Josiane Zerubia PY - 2022 JO - IEEE Transactions on Geoscience and Remote Sensing DO - 10.1109/tgrs.2022.3141996 UR - https://doi.org/10.1109/tgrs.2022.3141996 ER -
APA
Pastorino, M., Moser, G., Serpico, S. B., & Zerubia, J. (2022). Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2022.3141996
Source records
- crossref · retrieved 2026-09-25T10:42:38.331Z