| 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 | 642 | 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 | 578 | 2016 |
| 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 | 333 | 2013 |
| 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 | 319 | 2017 |
| 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 | 274 | 2018 |
| Semisupervised transfer component analysis for domain adaptation in remote sensing image classification G Matasci, M Volpi, M Kanevski, L Bruzzone, D Tuia IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3550-3564, 2015 | 240 | 2015 |
| Multi-modal change detection, application to the detection of flooded areas: Outcome of the 2009–2010 data fusion contest N Longbotham, F Pacifici, T Glenn, A Zare, M Volpi, D Tuia, E Christophe, ... IEEE Journal of selected topics in applied earth observations and remote …, 2012 | 208 | 2012 |
| Semantic segmentation of urban scenes by learning local class interactions M Volpi, V Ferrari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 206 | 2015 |
| Learning rotation invariant convolutional filters for texture classification D Marcos, M Volpi, D Tuia 2016 23rd International Conference on Pattern Recognition (ICPR), 2012-2017, 2016 | 194 | 2016 |
| Detecting animals in African Savanna with UAVs and the crowds N Rey, M Volpi, S Joost, D Tuia Remote Sensing of Environment 200, 341-351, 2017 | 176 | 2017 |
| Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis M Volpi, G Camps-Valls, D Tuia ISPRS journal of photogrammetry and remote sensing 107, 50-63, 2015 | 158 | 2015 |
| Semisupervised manifold alignment of multimodal remote sensing images D Tuia, M Volpi, M Trolliet, G Camps-Valls IEEE Transactions on Geoscience and Remote Sensing 52 (12), 7708-7720, 2014 | 157 | 2014 |
| Fast animal detection in UAV images using convolutional neural networks B Kellenberger, M Volpi, D Tuia 2017 IEEE international geoscience and remote sensing symposium (IGARSS …, 2017 | 116 | 2017 |
| Examining the capability of supervised machine learning classifiers in extracting flooded areas from Landsat TM imagery: a case study from a Mediterranean flood G Ireland, M Volpi, GP Petropoulos Remote sensing 7 (3), 3372-3399, 2015 | 116 | 2015 |
| Unsupervised change detection with kernels M Volpi, D Tuia, G Camps-Valls, M Kanevski IEEE Geoscience and Remote Sensing Letters 9 (6), 1026-1030, 2012 | 110 | 2012 |
| Automatic Feature Learning for spatio-spectral image classification with sparse SVM D Tuia, M Volpi, M Dalla Mura, A Rakotomamonjy, R Flamary Geoscience and Remote Sensing, IEEE Transactions on 52 (10), 6062-6074, 2013 | 99 | 2013 |
| Joint height estimation and semantic labeling of monocular aerial images with CNNs S Srivastava, M Volpi, D Tuia 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 98 | 2017 |
| Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images M Volpi, D Tuia ISPRS journal of photogrammetry and remote sensing 144, 48-60, 2018 | 97 | 2018 |
| Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis M Volpi, GP Petropoulos, M Kanevski Computers & Geosciences 57, 24-31, 2013 | 63 | 2013 |
| Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland C Pérez-Guillén, F Techel, M Hendrick, M Volpi, A van Herwijnen, ... Natural Hazards and Earth System Sciences Discussions 2021, 1-38, 2021 | 59 | 2021 |
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Geverifieerd e-mailadres voor epfl.ch
