Devis Tuia
Cited by
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Deep learning in remote sensing: A comprehensive review and list of resources
XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer
IEEE Geoscience and Remote Sensing Magazine 5 (4), 8-36, 2017
Optimal transport for domain adaptation
N Courty, R Flamary, D Tuia, A Rakotomamonjy
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (9), 1853-1865, 2017
Advances in hyperspectral image classification: Earth monitoring with statistical learning methods
G Camps-Valls, D Tuia, L Bruzzone, JA Benediktsson
IEEE signal processing magazine 31 (1), 45-54, 2013
Active learning methods for remote sensing image classification
D Tuia, F Ratle, F Pacifici, MF Kanevski, WJ Emery
IEEE Transactions on Geoscience and Remote Sensing 47 (7), 2218-2232, 2009
A survey of active learning algorithms for supervised remote sensing image classification
D Tuia, M Volpi, L Copa, M Kanevski, J Munoz-Mari
IEEE Journal of Selected Topics in Signal Processing 5 (3), 606-617, 2011
Dense semantic labeling of subdecimeter resolution images with convolutional neural networks
M Volpi, D Tuia
IEEE Transactions on Geoscience and Remote Sensing 55 (2), 881-893, 2016
Deepglobe 2018: A challenge to parse the earth through satellite images
I Demir, K Koperski, D Lindenbaum, G Pang, J Huang, S Basu, F Hughes, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Domain adaptation for the classification of remote sensing data: An overview of recent advances
D Tuia, C Persello, L Bruzzone
IEEE geoscience and remote sensing magazine 4 (2), 41-57, 2016
Multimodal classification of remote sensing images: A review and future directions
L Gómez-Chova, D Tuia, G Moser, G Camps-Valls
Proceedings of the IEEE 103 (9), 1560-1584, 2015
Supervised change detection in VHR images using contextual information and support vector machines
M Volpi, D Tuia, F Bovolo, M Kanevski, L Bruzzone
International Journal of Applied Earth Observation and Geoinformation 20, 77-85, 2013
Multioutput support vector regression for remote sensing biophysical parameter estimation
D Tuia, J Verrelst, L Alonso, F Pérez-Cruz, G Camps-Valls
IEEE Geoscience and Remote Sensing Letters 8 (4), 804-808, 2011
Learning relevant image features with multiple-kernel classification
D Tuia, G Camps-Valls, G Matasci, M Kanevski
IEEE Transactions on Geoscience and Remote Sensing 48 (10), 3780-3791, 2010
Using active learning to adapt remote sensing image classifiers
D Tuia, E Pasolli, WJ Emery
Remote Sensing of Environment 115 (9), 2232-2242, 2011
Classification of very high spatial resolution imagery using mathematical morphology and support vector machines
D Tuia, F Pacifici, M Kanevski, WJ Emery
IEEE Transactions on Geoscience and Remote Sensing 47 (11), 3866-3879, 2009
Remote sensing image processing
G Camps-Valls, D Tuia, L Gómez-Chova, S Jiménez, J Malo
Synthesis Lectures on Image, Video, and Multimedia Processing 5 (1), 1-192, 2011
Processing of multiresolution thermal hyperspectral and digital color data: Outcome of the 2014 IEEE GRSS data fusion contest
W Liao, X Huang, F Van Coillie, S Gautama, A Pižurica, W Philips, H Liu, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
Active learning: Any value for classification of remotely sensed data?
MM Crawford, D Tuia, HL Yang
Proceedings of the IEEE 101 (3), 593-608, 2013
Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest
G Licciardi, F Pacifici, D Tuia, S Prasad, T West, F Giacco, C Thiel, ...
IEEE Transactions on Geoscience and Remote Sensing 47 (11), 3857-3865, 2009
Rotation equivariant vector field networks
D Marcos, M Volpi, N Komodakis, D Tuia
Proceedings of the IEEE International Conference on Computer Vision, 5048-5057, 2017
Deepjdot: Deep joint distribution optimal transport for unsupervised domain adaptation
BB Damodaran, B Kellenberger, R Flamary, D Tuia, N Courty
Proceedings of the European Conference on Computer Vision (ECCV), 447-463, 2018
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