Michele Volpi

发表

Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis

George P. Petropoulos, Mikhail F. Kanevski, Michele Volpi, 2013, Comput. Geosci..

Multisensor Change Detection with Nonlinear Canonical Correlation

Gustavo Camps-Valls, Michele Volpi, Devis Tuia, 2013, IGARSS 2013.

Learning rotation invariant convolutional filters for texture classification

Michele Volpi, Devis Tuia, Diego Marcos, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Enhanced change detection using nonlinear feature extraction

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised change detection in the feature space using kernels

Gustavo Camps-Valls, Mikhail F. Kanevski, Michele Volpi, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Mikhail F. Kanevski, Michele Volpi, Jordi Muñoz-Marí, 2011, IEEE Journal of Selected Topics in Signal Processing.

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification

Lorenzo Bruzzone, Mikhail F. Kanevski, Michele Volpi, 2013, ICPRAM.

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

Michele Volpi, Devis Tuia, D. Tuia, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models pdf

Michele Volpi, Devis Tuia, Diego Marcos, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images

Gustavo Camps-Valls, Michele Volpi, Devis Tuia, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Structured prediction for urban scene semantic segmentation with geographic context

Michele Volpi, Vittorio Ferrari, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

Multi-sensor change detection based on nonlinear canonical correlations

Gustavo Camps-Valls, Mikhail F. Kanevski, Michele Volpi, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Detecting animals in African Savanna with UAVs and the crowds pdf

Michele Volpi, Devis Tuia, Stéphane Joost, 2017, ArXiv.

Joint height estimation and semantic labeling of monocular aerial images with CNNS

Michele Volpi, Devis Tuia, Shivangi Srivastava, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Machine learning for cross-gazetteer matching of natural features

Ross S. Purves, Michele Volpi, Elise Acheson, 2020, Int. J. Geogr. Inf. Sci..

Learning class- and location-specific priors for urban semantic labeling with CNNs

Michele Volpi, Devis Tuia, Benjamin Kellenberger, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Flooded area cartography with kernel-based classifiers and Landsat TM imagery

George P. Petropoulos, Michele Volpi, Mikhail Kanevski, 2012 .

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images pdf

Michele Volpi, Devis Tuia, D. Tuia, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Unbiased query-by-bagging active learning for VHR image classification

Michele Volpi, Devis Tuia, Mikhail Kanevski, 2010, Remote Sensing.

Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis

Ribana Roscher, Jan Dirk Wegner, Michele Volpi, 2018, ISPRS Int. J. Geo Inf..

Solving structured segmentation of aerial images as puzzles

Michele Volpi, Devis Tuia, Diego Marcos, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Unsupervised Binary Change Detection in VHR Images using a Kernelized Clustering Algorithm

Michele Volpi, Mikhail Kanevski, 2010 .

Fast animal detection in UAV images using convolutional neural networks

Michele Volpi, Devis Tuia, Benjamin Kellenberger, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Investigating the feature extraction framework for domain adaptation in remote sensing image classification

Lorenzo Bruzzone, Michele Volpi, Devis Tuia, 2013 .

Gazetteer matching for natural features in Switzerland

Michele Volpi, Ross Purves, Elise Acheson, 2017, GIR.

SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES

Ribana Roscher, Michele Volpi, Jan Dirk Wegner, 2020 .

Multisensor alignment of image manifolds

Michele Volpi, Devis Tuia, Maxime Trolliet, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Memory-Based Cluster Sampling for Remote Sensing Image Classification

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Create the relevant spatial filterbank in the hyperspectral jungle

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Semi-supervised multiview embedding for hyperspectral data classification

Michele Volpi, Devis Tuia, Mikhail Kanevski, 2014, Neurocomputing.

Getting pixels and regions to agree with conditional random fields

Gabriele Moser, Michele Volpi, Devis Tuia, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Interactive multisensor change detection in remote sensing images via kernel canonical correlation

Michele Volpi, Devis Tuia, Giona Matasci, 2013 .

Multi-view feature extraction for hyperspectral image classification

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2013, ESANN.

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest

Qian Du, Jocelyn Chanussot, Julien Michel, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Unsupervised Alignment of Image Manifolds with Centrality Measures

Gustau Camps-Valls, Michele Volpi, Devis Tuia, 2014, 2014 22nd International Conference on Pattern Recognition.

Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification

Lorenzo Bruzzone, Michele Volpi, Devis Tuia, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised Change Detection With Kernels

Gustavo Camps-Valls, Mikhail F. Kanevski, Michele Volpi, 2012, IEEE Geoscience and Remote Sensing Letters.

Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood

George P. Petropoulos, Michele Volpi, Gareth Ireland, 2015, Remote. Sens..

Rotation Equivariant Vector Field Networks

Nikos Komodakis, Michele Volpi, Devis Tuia, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Environmental Monitoring Networks Optimization Using Advanced Active Learning Algorithms

Michele Volpi, Mikhail Kanevski, Loris Copa, 2010 .

Discovering relevant spatial filterbanks for VHR image classification

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data

Michele Volpi, Devis Tuia, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields

Gabriele Moser, Michele Volpi, Devis Tuia, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Transfer component analysis for domain adaptation in image classification

Michele Volpi, Devis Tuia, Giona Matasci, 2011, Remote Sensing.

Advanced active sampling for remote sensing image classification

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised change detection by kernel clustering

Gustavo Camps-Valls, Michele Volpi, Devis Tuia, 2010, Remote Sensing.

Semantic segmentation of urban scenes by learning local class interactions

Michele Volpi, Vittorio Ferrari, V. Ferrari, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Semantic labeling of aerial images by learning class-specific object proposals

Michele Volpi, Devis Tuia, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

Gustau Camps-Valls, Michele Volpi, Devis Tuia, 2018 .

Supervised change detection in VHR images using contextual information and support vector machines

Francesca Bovolo, Lorenzo Bruzzone, Mikhail F. Kanevski, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Data-driven automatic predictions of avalanche danger in Switzerland

Fernando Pérez-Cruz, Michele Volpi, Guillaume Obozinski, 2021 .

Automated detection of individual clove trees for yield quantification in northeastern Madagascar based on multi-spectral satellite data

Michael E. Schaepman, Michele Volpi, Reik Leiterer, 2019, Remote Sensing of Environment.

Supervised Change Detection in VHR Images Using Support Vector Machines and Contextual Information

Michele Volpi, Mikhail Kanevski, 2010 .

Analysis of past and future dam formation and failure in the Santa Cruz River (San Juan province, Argentina)

Michele Volpi, Michel Jaboyedoff, Ivanna Penna, 2013 .