| 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 | 384 | 2005 |
| 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 | 379 | 2006 |
| 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 | 226 | 2007 |
| 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 | 215 | 2010 |
| 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 | 205 | 2008 |
| 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 | 200 | 2013 |
| 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 | 193 | 2012 |
| 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 | 191 | 2012 |
| 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 | 150 | 2007 |
| 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 | 146 | 2008 |
| 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 | 134 | 2012 |
| 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 | 121 | 2010 |
| 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 | 121 | 2008 |
| 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 | 104 | 2010 |
| Signal and image processing for remote sensing C Chen CRC press, 2012 | 103 | 2012 |
| 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 | 103 | 2010 |
| 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 | 100 | 2014 |
| 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 | 97 | 2014 |
| 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 | 96 | 2009 |
| 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 | 95 | 2015 |
Lorenzo BruzzoneProfessor of Telecommunications, University of Trento確認したメール アドレス: ing.unitn.it
