Publications



 








Journal 

Rey, N.; Volpi, M.; Joost, S. and Tuia, D.Detecting animals in African Savanna with UAVs and the crowdsRemote Sensing of Environment, vol. 200, pp. 341-351, 2017. [PDF: arxiv], press article on Technology Reviews

Volpi, M.; Tuia, D.Dense semantic labeling of sub-decimeter resolution images with convolutional neural networksIEEE Transactions on Geoscience and Remote Sensing, vol. 55(2), pp. 881-893, 2017. doi: 10.1109/TGRS.2016.2616585[project page]

Volpi, M.; Camps-Valls, G.; Tuia, D.; Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis; ISPRS Journal of Photogrammetry and Remote Sensing, vol. 107, pp. 50-63, 2015. doi: 10.1016/j.isprsjprs.2015.02.005[project page]

Matasci, G.; Volpi, M.; Kanevski, M.; Bruzzone, L.; Tuia, D.Semisupervised Transfer Component Analysis for domain adaptation in remote sensing image classificationIEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 3550-3564, 2015. doi: 10.1109/TGRS.2014.2377785

Ireland, G.; Volpi, M.; George P.; Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean FloodRemote Sensing, vol. 7, no. 3, pp. 3372-33992015doi: 10.3390/rs70303372

Volpi, M.; Matasci, G.; Kanevski, M.; Tuia, D.; Semi-supervised Multiview Embedding for Hyperspectral Data Classification, Neurocomputing, vol. 145, pp. 427-437, 2014doi: 10.1016/j.neucom.2014.05.010

Tuia, D.; Volpi, M.; Trolliet, M.; Camps-Valls, G.; Semisupervised Manifold Alignment of Multimodal Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 12, pp. 7708-7720, 2014. doi:10.1109/TGRS.2014.2317499 [code]

Tuia, D.; Volpi, M.; Dalla Mura, M.; Rakotomamonjy, A.; Flamary, R.; Automatic feature learning for spatio-spectral image classification with sparse SVM, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6062-6074,2014  doi:10.1109/TGRS.2013.2294724 [code]

Volpi, M.; Petropoulos, G. P.; Kanevski, M.; Flooding Extent Cartography with Landsat TM Imagery and Regularized Kernel Fisher's Discriminant Analysis, Computers & Geosciences, vol. 57, pp. 24-31, 2013. doi:10.1016/j.cageo.2013.03.009

Penna, I.; Derron, M.-H.; Volpi, M.; Jaboyedoff, M.; Analysis of past and future dam formation and failure in the Santa Cruz River (San Juan province, Argentina), Geomorphology, vol. 186, pp. 28-38, 2013. doi:10.1016/j.geomorph.2012.12.011

Volpi, M.; Tuia, D.; Bovolo, F.; Kanevski, M.; Bruzzone, L.; Supervised Change Detection in VHR Images Using Contextual Information and Support Vector MachinesInternational Journal of Applied Earth Observation and Geoinformation, vol. 20, pp. 77-85, 2013. doi:10.1016/j.jag.2011.10.013

Volpi, M.; Tuia, D.; Camps-Valls, G.; Kanevski, M.; Unsupervised Change Detection with KernelsIEEE Geoscience and Remote Sensing Letters, vol. 9, no. 6, pp. 1026-1030, 2012. doi:10.1109/LGRS.2012.2189092 [code]

Longbotham, N.; Pacifici, F.; Glenn, T.; Zare, A.; Volpi, M.; Tuia, D.; Christophe, E.; Michel, J.; Inglada, J.; Chanussot, J.; Du, Q.; Multi-modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 1, pp. 331-342, 2012 doi:10.1109/JSTARS.2011.2179638.

Volpi, M.; Tuia, D. & Kanevski, M.; Memory-Based Cluster Sampling for Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing,vol. 50, no. 8, pp. 3096-3106, 2012. doi:10.1109/TGRS.2011.2179661

Tuia, D.; Volpi, M.; Copa, L.; Kanevski, M.; Muñoz-Marì­, J.; A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification, IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, pp. 606-617, 2011., doi:10.1109/JSTSP.2011.2139193. [code]


Conference proceedings


Marcos, D.; Volpi, M.; Komodakis, N.; Tuia, D.; Rotation equivariant vector field networks, ICCV, 2017, accepted. 

Kellenberger, B., Volpi, M., Tuia, D. (2017). Fast animal detection in UAV images using CNNs, IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Fort Worth, TX, 2017.

Srivastava, S., Volpi, M., Tuia., D. (2017). Joint height estimation and semantic labeling of monocular aerial images with CNNs. IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Fort Worth, TX, 2017.

B. Kellenberger, M. Volpi, and D. Tuia (2017); Learning Class- and Location-specific Priors for Urban Semantic Labeling with CNNs, In Joint Urban Remote Sensing Event JURSE 2017, Dubai, United Arab Emirates. accepted

Marcos, D.; Volpi, M.; & Tuia, D.; Learning rotation invariant convolutional filters for texture classification, In International Conference on Pattern Recognition, Cancún, Mexico, 2016.

Volpi, M. & Tuia, D.;  Semantic labeling of aerial images by learning class-specific object proposals. In IEEE International Geosciences and Remote Sensing Symposium IGARSS, Beijing, China, 2016.

Tuia, D.; Volpi, M. & Moser, G.; Getting pixels and regions to agree with conditional random fields; In IEEE International Geosciences and Remote Sensing Symposium IGARSS, Beijing, China, 2016.

Marcos, D. Volpi, M.; & Tuia, D.; Solving structured segmentation of aerial images as puzzles. In IEEE International Geosciences and Remote Sensing Symposium IGARSS, Beijing, China, 2016.

Volpi, M. & Ferrari, V.; Semantic segmentation of urban scenes by learning local class interactionsIn IEEE CVPR 2015 Workshop "Looking from above: when Earth observation meets vision" (EARTHVISION), Boston, USA, 2015. (best paper award) [poster]

Volpi, M. & Ferrari, V.; Structured prediction for urban scene semantic segmentation with geographic context, In Joint Urban Remote Sensing Event JURSE 2015, Lausanne, Switzerland, 2015.

Volpi, M. & Tuia, D.; Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data, In 6th Workshop in Hyperspectral Image and Signal Processing: Evolution in Remote Sensing WHISPERS 2014, Lausanne, Switzerland, 2014.

Tuia, D.; Volpi, M. & Camps-Valls, G.; Unsupervised Alignment of Image Manifolds with Centrality Measures, In 22nd International Conference on Pattern Recognition ICPR 2014, Stockholm, Sweden, 2014.

Volpi, M.; de Morsier, F.; Camps-Valls, G.; Kanevski, M.; & Tuia, D.; Multi-sensor change detection based on nonlinear canonical correlations In IEEE International Geosciences and Remote Sensing Symposium IGARSS 2013, Melbourne, Australia, 2013.

Tuia, D.; Trolliet, M. & Volpi, M.; Multisensor alignment of image manifolds, In IEEE International Geosciences and Remote Sensing Symposium IGARSS 2013, Melbourne, Australia, 2013.

Tuia, D.; Volpi, M.; Dalla Mura, M.; Rakotomamonjy, A. & Flamary, R.; Create the relevant spatial filterbank in the hyperspectral jungle, In IEEE International Geosciences and Remote Sensing Symposium IGARSS 2013, Melbourne, Australia, 2013.

Volpi, M.; Matasci, G.; Kanevski, M. & Tuia, D.; Multi-view feature extraction for hyperspectral image classification, In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESANN 2013, Bruges, Belgium, 2013.

Trolliet, M.; Tuia, D. & Volpi, M.; Classification of urban multi-angular image sequences by aligning their manifolds, In Joint Urban Remote Sensing Event JURSE 2013, Sao Paolo, Brasil2013.

Matasci, G.; Bruzzone, L.; Volpi, M.; Tuia, D. & M., Kanevski.; Investigating feature extraction for domain adaptation in remote sensing image classification, In International Conference on Pattern Recognition Application and Methods ICPRAM 2013, Barcelona, Spain, 2013.

Volpi, M; Matasci, G.; Tuia, D. & Kanevski, M.; Enhanced Change Detection Using Nonlinear Feature Extraction; In IEEE International Geosciences and Remote Sensing Symposium, IGARSS, Munich, Germany, 2012

Tuia, D.; Volpi, M.; Dalla Mura, M. Rakotomamonjy, A. & Flamary, R.; Discovering relevant spatialfilterbanks for VHR image classification. In 21st International Conference Pattern Recognition, Tsukuba, Japan, 2012.

Matasci, G.; Volpi, M.; Tuia, D. & Kanevski, M.; Transfer Component Analysis for Domain Adaptation in Image Classification; In SPIE Image and Signal Processing for Remote Sensing XVII, Prague, Czech Republic, 2011.

Volpi, M.; Tuia, D.; Camps-Valls, G.; Kanevski, M.; Unsupervised Change Detection in the Feature Space Using Kernels, In IEEE International Geoscience and Remote Sensing Symposium IGARSS, Vancouver, Canada, 2011.

Volpi, M.; Tuia, D.; Camps-Valls, G.; Kanevski, M.; Usupervised Change Detection by Kernel Clustering, In SPIE Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010.

Copa, L.; Tuia, D.; Volpi, M.; Kanevski, M.; Unbiased query-by-bagging active learning for VHR image classification, In SPIE Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010.

Volpi, M.; Tuia, D.; & Kanevski, M.; Advanced Active Sampling for Remote Sensing Image Classification, In IEEE International Geoscience And Remote Sensing Symposium IGARSS, Honolulu, USA, 2010.

Volpi, M.; Tuia, D.; Kanevski, M.; Bovolo, F.; & Bruzzone, L.; Supervised Change Detection in VHR Images: a Comparative Analysis, In IEEE International Workshop on Machine Learning for Signal Processing, Grenoble, France, 2009.


Other


- PhD Thesis

Volpi, M.; Kernel-based methods for change detection in remote sensing images, Ph.D. Thesis, Université de Lausanne, Faculté des géosciences et de l'environnement, 2013.


- Various posters

Volpi, M.; Petropoulos, G. P.; & Kanevski, M.; Flooded Area Cartography with kernel-based classifiers and Landsat TM imagery, European Geosciences Union General Assembly, Vienna (AUT); 2012.

Cere, R.; Conedera, M.; Matasci, G.; Kanevski, M.; Tonini, M.; Vega-Orozco, C.; & Volpi, M.; Wildland-Urban Interface Mapping Using Multi-Temporal Landsat Imagery: The Case of Forest Fires in Southern Swiss Alps, European Geosciences Union General Assembly, Vienna (AUT); 2012.

Volpi, M.; Kanevski, M.; Kernel-based Methods for Change Detection in Remote Sensing Optical Images (sollicited), European Geosciences Union General Assembly, Vienna (AUT); 2011.

Humair, F.; Charrière, M.; Pedrazzini, A.; Guell-Pons, M.; Volpi, M.; Foresti, L.; Jaboyedoff, M.; Epard, J. & Froese, C.: The Frank Slide (Alberta, Canada): from the contributing factors to the processes of propagation, In Proceedings of the 63th International Canadian Geotechnical Conference of the Canadian Geotechnical Society, Calgary (CAN), 2010.

Kanevski, M.; Volpi, M.; & Copa, L.; Optimization of Monitoring Networks Using Advanced Active Learning Algorithms; European Geosciences Union General Assembly, Vienna (AUT); 2010.

Volpi, M.; Tuia, D.; & Kanevski, M.; Unsupervised Change Detection in VHR Images Using a Kernelized Clustering Algorithm; European Geosciences Union General Assembly, Vienna (AUT); 2010.

Volpi, M.; Tuia, D.; & Kanevski, M.; Supervised Change Detection in VHR Images Using Support Vector Machines and Contextual Information; European Geosciences Union General Assembly, Vienna (AUT); 2010.

Charrière, M.; Pedrazzini, A.; Pons, M. G.; Volpi, M.; Jaboyedoff, M.; Froese, C. & Kanevski, M.: The Characterization of the Frank Slide Deposit; European Geosciences Union General Assembly, Vienna (AUT); 2010.

Volpi, M.; Supervised Change Detection in VHR Images: a Comparative Analysis, Institute of Geomatics and Analysis of Risk, Faculty of Geosciences of the Environment, University of Lausanne, Master Thesis; 2009. 


- Talks

Volpi, M.; Ferrari, V.; Semantic segmentation of remote sensing urban scenes by incorporating the geographical context; Invited Seminar, University of Zurich, Switzerland2014.

Volpi, M.; Ferrari, V.; Semantic segmentation of remotely sensed urban scenes; IPAB Workshop, University of Edinburgh, UK, 2014.

Volpi, M.; de Morsier, F.; Kanevski, M.; Matasci, G.; Stamenkovic, J.; Thiran, J.-P.; Tuia, D.; Kernel-based automatic change detection in remote sensing optical images; Machine Learning Workshop @ EPFL, Lausanne, Switzerland, 2012.

Volpi, M.; Kanevski, M.; Kernel-Based Machine Learning Algorithms for Change Detection in Remote Sensing Images; Swiss French Geomatics Meeting, University of Geneva, Switzerland, 2010.

Volpi, M.; Tuia, D.; Kanevski, M.; Active Learning of Remote Sensing Images; S4 Workshop, Spatio-Temporal Data Analysis, Cork, Ireland, 2010.

Volpi, M.; Tuia, D.; Camps-Valls, G.; Kanevski, M.; Unsupervised Change Detection by Kernel Clustering; Invited Seminar, National Center for Geocomputation (NCG), Maynooth, Ireland, 2010.



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