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Nombre de documents : 4.
Multisensor temporal unsupervised domain adaptation for land cover mapping with spatial pseudo-labeling and adversarial learning.
Capliez Emmanuel, Ienco Dino, Gaetano Raffaele, Baghdadi Nicolas, Hadj Salah Adrien, Le Goff Matthieu, Chouteau Florient.
2023.
IEEE Transactions on Geoscience and Remote Sensing, 61:5405716 : 1-16.
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Evaluation of a combination of NIR micro-spectrometers to predict chemical properties of sugarcane forage using a multi-block approach.
Ryckewaert Philippe, Chaix Gilles, Héran Daphné, Zgouz Abdallah, Bendoula Ryad.
2022.
Biosystems Engineering, 217 : 18-25.
![[img]](http://agritrop.cirad.fr/style/images/fileicons/text.png)
M3Fusion: A deep learning architecture for multiscale multimodal multitemporal satellite data fusion.
Benedetti Paola, Ienco Dino, Gaetano Raffaele, Osé Kenji, Pensa Ruggero, Dupuy Stéphane.
2018.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (2) : 4939-4949.
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Multi-temporal optical and radar data fusion for crop monitoring: Application to an intensive agricultural area in Brittany (France).
Betbeder Julie, Corgne Samuel, Pottier Eric, Corpetti Thomas, Hubert-Moy Laurence.
2014.
In : Proceedings 2014 IEEE Geoscience and Remote Sensing Symposium. IEEE. Québec : IEEE , 1493-1496.
ISBN 978-1-4799-5775-0 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014), Québec, Canada, 13 Juillet 2014/18 Juillet 2014.
