Suivre
Francesca Bovolo
Francesca Bovolo
Trento-Fondazione Bruno Kessler (FBK)
Adresse e-mail validée de fbk.eu - Page d'accueil
Titre
Citée par
Citée par
Année
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
6632006
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
5182005
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
4812019
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
4602019
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
3612012
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
3502012
Fast and robust matching for multimodal remote sensing image registration
Y Ye, L Bruzzone, J Shan, F Bovolo, Q Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9059-9070, 2019
3382019
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
3382008
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
3372007
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
3352013
A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges
S Liu, D Marinelli, L Bruzzone, F Bovolo
IEEE Geoscience and Remote Sensing Magazine 7 (2), 140-158, 2019
3252019
Semisupervised one-class support vector machines for classification of remote sensing data
J Mũnoz-Marí, F Bovolo, L Gómez-Chova, L Bruzzone, G Camp-Valls
IEEE transactions on geoscience and remote sensing 48 (8), 3188-3197, 2010
3172010
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
2192012
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
2082008
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
2052014
Sequential spectral change vector analysis for iteratively discovering and detecting multiple changes in hyperspectral images
S Liu, L Bruzzone, F Bovolo, M Zanetti, P Du
IEEE transactions on geoscience and remote sensing 53 (8), 4363-4378, 2015
1972015
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
1862007
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
1782015
Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
D Wen, X Huang, F Bovolo, J Li, X Ke, A Zhang, JA Benediktsson
IEEE Geoscience and Remote Sensing Magazine 9 (4), 68-101, 2021
1672021
Building change detection in VHR SAR images via unsupervised deep transcoding
S Saha, F Bovolo, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 59 (3), 1917-1929, 2020
1672020
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20