Devis Tuia
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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
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
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
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
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
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
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
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
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
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
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
Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
B Kellenberger, D Marcos, D Tuia
Remote sensing of environment 216, 139-153, 2018
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
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
Domain adaptation with regularized optimal transport
N Courty, R Flamary, D Tuia
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models
D Marcos, M Volpi, B Kellenberger, D Tuia
ISPRS journal of photogrammetry and remote sensing 145, 96-107, 2018
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