Michele Volpi
Michele Volpi
Lead Data Scientist at Swiss Data Science Center, Senior Scientist ETH Zurich
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Unbiased query-by-bagging active learning for VHR image classification
L Copa, D Tuia, M Volpi, M Kanevski
Image and Signal Processing for Remote Sensing XVI 7830, 176-183, 2010
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