A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T23:43:33.322Z