A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series

Luca Bergamasco, Marius Guichard, Mauro Dalla Mura, Francesca Bovolo

Open source

DOI
10.5194/isprs-archives-xlix-b3-2026-3-2026
Published
2026-07-30
Container
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publisher
Copernicus GmbH
Open access
unknown

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BibTeX

@article{allodium:10.5194/isprs-archives-xlix-b3-2026-3-2026,
  title = {A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series},
  author = {Luca Bergamasco and Marius Guichard and Mauro Dalla Mura and Francesca Bovolo},
  year = {2026},
  journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  doi = {10.5194/isprs-archives-xlix-b3-2026-3-2026},
  url = {https://doi.org/10.5194/isprs-archives-xlix-b3-2026-3-2026}
}

RIS

TY  - JOUR
TI  - A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series
AU  - Luca Bergamasco
AU  - Marius Guichard
AU  - Mauro Dalla Mura
AU  - Francesca Bovolo
PY  - 2026
JO  - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
DO  - 10.5194/isprs-archives-xlix-b3-2026-3-2026
UR  - https://doi.org/10.5194/isprs-archives-xlix-b3-2026-3-2026
ER  - 

APA

Bergamasco, L., Guichard, M., Mura, M. D., & Bovolo, F. (2026). A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xlix-b3-2026-3-2026

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