| 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 | 1687 | 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 | 639 | 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 | 528 | 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 | 516 | 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 | 436 | 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 | 422 | 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 | 291 | 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 | 287 | 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 | 259 | 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 | 252 | 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 | 233 | 2010 |
| 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 | 227 | 2018 |
| Using active learning to adapt remote sensing image classifiers D Tuia, E Pasolli, WJ Emery Remote Sensing of Environment 115 (9), 2232-2242, 2011 | 210 | 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 | 210 | 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 | 208 | 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 | 189 | 2015 |
| 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 | 188 | 2017 |
| 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 | 180 | 2009 |
| 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 | 175 | 2013 |
| 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 | 174 | 2018 |
Gustau Camps-VallsProfessor. IEEE Fellow. ELLIS Fellow. Image Processing Lab (IPL). Universitat de ValčnciaVerified email at uv.es
