Francesca Bovolo
Francesca Bovolo
Trento-Fondazione Bruno Kessler (FBK)
Email verificata su fbk.eu - Home page
Titolo
Citata da
Citata da
Anno
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
3832005
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
3782006
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
2252007
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
2152010
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
2032008
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
1982013
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
1912012
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
1902012
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
1502007
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
1452008
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
1332012
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
1212010
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
1212008
A context-sensitive technique robust to registration noise for change detection in VHR multispectral images
S Marchesi, F Bovolo, L Bruzzone
IEEE transactions on Image Processing 19 (7), 1877-1889, 2010
1042010
Signal and image processing for remote sensing
C Chen
CRC press, 2012
1032012
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
1022010
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
1002014
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
962014
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
962009
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
952015
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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