Francesca Bovolo
Francesca Bovolo
Trento-Fondazione Bruno Kessler (FBK)
Email verificata su fbk.eu - Home page
Titolo
Citata da
Citata da
Anno
A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain
F Bovolo, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 45 (1), 218-236, 2006
4362006
A detail-preserving scale-driven approach to change detection in multitemporal SAR images
F Bovolo, L Bruzzone
IEEE transactions on geoscience and remote sensing 43 (12), 2963-2972, 2005
4152005
Semisupervised one-class support vector machines for classification of remote sensing data
J Mũnoz-MarÝ, F Bovolo, L Gˇmez-Chova, L Bruzzone, G Camp-Valls
IEEE transactions on geoscience and remote sensing 48 (8), 3188-3197, 2010
2542010
A split-based approach to unsupervised change detection in large-size multitemporal images: Application to tsunami-damage assessment
F Bovolo, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 45 (6), 1658-1670, 2007
2432007
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
2412013
A novel framework for the design of change-detection systems for very-high-resolution remote sensing images
L Bruzzone, F Bovolo
Proceedings of the IEEE 101 (3), 609-630, 2012
2402012
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images
F Bovolo, S Marchesi, L Bruzzone
Geoscience and Remote Sensing, IEEE Transactions on 50 (6), 2196 - 2212, 2012
2282012
A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure
F Bovolo, L Bruzzone, M Marconcini
IEEE Transactions on Geoscience and Remote Sensing 46 (7), 2070-2082, 2008
2202008
A context-sensitive technique for unsupervised change detection based on Hopfield-type neural networks
S Ghosh, L Bruzzone, S Patra, F Bovolo, A Ghosh
IEEE Transactions on Geoscience and Remote Sensing 45 (3), 778-789, 2007
1702007
A multilevel parcel-based approach to change detection in very high resolution multitemporal images
F Bovolo
IEEE Geoscience and Remote Sensing Letters 6 (1), 33-37, 2008
1632008
Updating land-cover maps by classification of image time series: A novel change-detection-driven transfer learning approach
B Demir, F Bovolo, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 51 (1), 300-312, 2012
1522012
Unsupervised deep change vector analysis for multiple-change detection in VHR images
S Saha, F Bovolo, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3677-3693, 2019
1412019
A novel technique for subpixel image classification based on support vector machine
F Bovolo, L Bruzzone, L Carlin
IEEE Transactions on Image Processing 19 (11), 2983-2999, 2010
1372010
An unsupervised technique based on morphological filters for change detection in very high resolution images
M Dalla Mura, JA Benediktsson, F Bovolo, L Bruzzone
IEEE Geoscience and Remote Sensing Letters 5 (3), 433-437, 2008
1342008
Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
P Ghamisi, B Rasti, N Yokoya, Q Wang, B Hofle, L Bruzzone, F Bovolo, ...
IEEE Geoscience and Remote Sensing Magazine 7 (1), 6-39, 2019
1292019
The time variable in data fusion: A change detection perspective
F Bovolo, L Bruzzone
IEEE Geoscience and Remote Sensing Magazine 3 (3), 8-26, 2015
1202015
Hierarchical unsupervised change detection in multitemporal hyperspectral images
S Liu, L Bruzzone, F Bovolo, P Du
IEEE Transactions on Geoscience and Remote Sensing 53 (1), 244-260, 2014
1152014
A support vector domain method for change detection in multitemporal images
F Bovolo, G Camps-Valls, L Bruzzone
Pattern Recognition Letters 31 (10), 1148-1154, 2010
1112010
Analysis of the effects of pansharpening in change detection on VHR images
F Bovolo, L Bruzzone, L Capobianco, A Garzelli, S Marchesi, F Nencini
IEEE Geoscience and Remote Sensing Letters 7 (1), 53-57, 2009
1102009
Building change detection in multitemporal very high resolution SAR images
C Marin, F Bovolo, L Bruzzone
IEEE transactions on geoscience and remote sensing 53 (5), 2664-2682, 2014
1072014
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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