Lorenzo Bruzzone

Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone: Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Applied Earth Observation and Geoinformation 20: 77-85 (2013)

Prashanth Reddy Marpu, Mattia Pedergnana, Mauro Dalla Mura, Jon Atli Benediktsson, Lorenzo Bruzzone: Automatic Generation of Standard Deviation Attribute Profiles for Spectral-Spatial Classification of Remote Sensing Data. IEEE Geosci. Remote Sensing Lett. 10(2): 293-297 (2013)

Nicola Falco, Mauro Dalla Mura, Francesca Bovolo, Jon Atli Benediktsson, Lorenzo Bruzzone: Change Detection in VHR Images Based on Morphological Attribute Profiles. IEEE Geosci. Remote Sensing Lett. 10(3): 636-640 (2013)

Lorenzo Bruzzone, Francesca Bovolo: A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images. Proceedings of the IEEE 101(3): 609-630 (2013)

Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone: Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach. IEEE T. Geoscience and Remote Sensing 51(1): 300-312 (2013)

Adamo Ferro, Dominik Brunner, Lorenzo Bruzzone: Automatic Detection and Reconstruction of Building Radar Footprints From Single VHR SAR Images. IEEE T. Geoscience and Remote Sensing 51(2): 935-952 (2013)

Adamo Ferro, Lorenzo Bruzzone: Automatic Extraction and Analysis of Ice Layering in Radar Sounder Data. IEEE T. Geoscience and Remote Sensing 51(3-2): 1622-1634 (2013)

Chen Yang, Lorenzo Bruzzone, Renchu Guan, Laijun Lu, Yanchun Liang: Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images. IEEE T. Geoscience and Remote Sensing 51(3-2): 1666-1679 (2013)

Mattia Pedergnana, Prashanth Reddy Marpu, Mauro Dalla Mura, Jon Atli Benediktsson, Lorenzo Bruzzone: Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles. J. Sel. Topics Signal Processing 6(7): 856-865 (2012)

Swarnajyoti Patra, Lorenzo Bruzzone: A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier. IEEE Geosci. Remote Sensing Lett. 9(3): 497-501 (2012)

Swarnajyoti Patra, Lorenzo Bruzzone: A cluster-assumption based batch mode active learning technique. Pattern Recognition Letters 33(9): 1042-1048 (2012)

Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone: Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification. IEEE T. Geoscience and Remote Sensing 50(5-2): 1930-1941 (2012)

Francesca Bovolo, Silvia Marchesi, Lorenzo Bruzzone: A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images. IEEE T. Geoscience and Remote Sensing 50(6): 2196-2212 (2012)

Kanchan Bahirat, Francesca Bovolo, Lorenzo Bruzzone, Subhasis Chaudhuri: A Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains. IEEE T. Geoscience and Remote Sensing 50(7): 2810-2826 (2012)

Adamo Ferro, Lorenzo Bruzzone: Analysis of Radar Sounder Signals for the Automatic Detection and Characterization of Subsurface Features. IEEE T. Geoscience and Remote Sensing 50(11): 4333-4348 (2012)

Claudio Persello, Lorenzo Bruzzone: Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images. IEEE T. Geoscience and Remote Sensing 50(11): 4468-4483 (2012)

Mattia Pedergnana, Prashanth Reddy Marpu, Mauro Dalla Mura, Jon Atli Benediktsson, Lorenzo Bruzzone: A novel supervised feature selection technique based on genetic algorithms. IGARSS 2012: 60-63

Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone: A novel system for classification of image time series with limited ground reference data. IGARSS 2012: 158-161

Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls: Semisupervised nonlinear feature extraction for image classification. IGARSS 2012: 1525-1528

Begüm Demir, Luca Minello, Lorenzo Bruzzone: A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers. IGARSS 2012: 1781-1784

Francesca Bovolo, Carlo Marin, Lorenzo Bruzzone: A novel hierarchical approach to change detection with very high resolution SAR images for surveillance applications. IGARSS 2012: 1992-1995

Peijun Du, Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo: Target-driven change detection based on data transformation and similarity measures. IGARSS 2012: 2016-2019

Adamo Ferro, Alain Pascal, Lorenzo Bruzzone: A novel method for automatic clutter detection in radargrams acquired by orbiting radar sounders. IGARSS 2012: 3210-3213

Ana-Maria Ilisei, Adamo Ferro, Lorenzo Bruzzone: A technique for the automatic estimation of ice thickness and bedrock properties from radar sounder data acquired at Antarctica. IGARSS 2012: 4457-4460

Sebastiano B. Serpico, Lorenzo Bruzzone, Giovanni Corsini, William J. Emery, Paolo Gamba, Andrea Garzelli, Grégoire Mercier, Josiane Zerubia, Nicola Acito, Bruno Aiazzi, Francesca Bovolo, Fabio Dell'Acqua, Michaela De Martino, Marco Diani, Vladimir A. Krylov, Gianni Lisini, Carlo Marin, Gabriele Moser, Aurelie Voisin, Claudia Zoppetti: Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures. IGARSS 2012: 5506-5509

Swarnajyoti Patra, Lorenzo Bruzzone: A novel SOM-based active learning technique for classification of remote sensing images with SVM. IGARSS 2012: 6879-6882

Luca Pasolli, Mattia Callegari, Claudia Notarnicola, Lorenzo Bruzzone, Marc Zebisch: Integration of X-band SAR and optical thermal data for retrieving snowpack parameters in mountain areas. IGARSS 2012: 7035-7038

Mirco Furlani, Devis Tuia, Jordi Muñoz-Marí, Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone: Discovering single classes in remote sensing images with active learning. IGARSS 2012: 7341-7344

Gustavo Camps-Valls, Jon Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot: Introduction to the Issue on Advances in Remote Sensing Image Processing. J. Sel. Topics Signal Processing 5(3): 365-369 (2011)

Dominik Brunner, Guido Lemoine, Harm Greidanus, Lorenzo Bruzzone: Radar Imaging Simulation for Urban Structures. IEEE Geosci. Remote Sensing Lett. 8(1): 68-72 (2011)

Mauro Dalla Mura, Alberto Villa, Jon Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone: Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis. IEEE Geosci. Remote Sensing Lett. 8(3): 542-546 (2011)

Adamo Ferro, Dominik Brunner, Lorenzo Bruzzone, Guido Lemoine: On the Relationship Between Double Bounce and the Orientation of Buildings in VHR SAR Images. IEEE Geosci. Remote Sensing Lett. 8(4): 612-616 (2011)

Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone: Estimating Soil Moisture With the Support Vector Regression Technique. IEEE Geosci. Remote Sensing Lett. 8(6): 1080-1084 (2011)

Lorenzo Bruzzone, Giovanni Alberti, Clau Catallo, Adamo Ferro, Wlodek Kofman, Roberto Orosei: Subsurface Radar Sounding of the Jovian Moon Ganymede. Proceedings of the IEEE 99(5): 837-857 (2011)

Begüm Demir, Claudio Persello, Lorenzo Bruzzone: Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images. IEEE T. Geoscience and Remote Sensing 49(3): 1014-1031 (2011)

Swarnajyoti Patra, Lorenzo Bruzzone: A Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images. IEEE T. Geoscience and Remote Sensing 49(5): 1617-1626 (2011)

Michele Dalponte, Lorenzo Bruzzone, Damiano Gianelle: A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data. IEEE T. Geoscience and Remote Sensing 49(7): 2479-2490 (2011)

Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone: Detection of land-cover transitions in multitemporal images with active-learning based compound classification. IGARSS 2011: 225-228

Lorenzo Bruzzone, Francesca Bovolo: A semantic-based multilevel approach to change detection in very high geometrical resolution multitemporal images. IGARSS 2011: 229-232

Francesca Bovolo, Lorenzo Bruzzone: An adaptive thresholding approach to multiple-change detection in multispectral images. IGARSS 2011: 233-236

Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone, Giacomo Bertoldi, Georg Niedrist, Ulrike Tappeiner, Marc Zebisch, Fabio Del Frate, Gaia Vaglio Laurin: Spatial and temporal mapping of soil moisture content with polarimetric RADARSAT 2 SAR imagery in the Alpine area. IGARSS 2011: 1067-1070

Adamo Ferro, Lorenzo Bruzzone: A novel approach to the automatic detection of subsurface features in planetary radar sounder signals. IGARSS 2011: 1071-1074

Luca Pasolli, Lorenzo Bruzzone, Claudia Notarnicola: A novel hybrid approach to the estimation of biophysical parameters from remotely sensed data. IGARSS 2011: 1231-1234

Mauro Dalla Mura, Jon Atli Benediktsson, Lorenzo Bruzzone: A general approach to the spatial simplification of remote sensing images based on morphological connected filters. IGARSS 2011: 1239-1242

Claudio Persello, Lorenzo Bruzzone: A novel active learning strategy for domain adaptation in the classification of remote sensing images. IGARSS 2011: 3720-3723

Jon Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot, Mauro Dalla Mura, Philippe Salembier, Silvia Valero: Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees. ISMM 2011: 306-319

Mauro Dalla Mura, Jon Atli Benediktsson, Lorenzo Bruzzone: Self-dual Attribute Profiles for the Analysis of Remote Sensing Images. ISMM 2011: 320-330

Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Saroj K. Meher: Neuro-fuzzy-combiner: an effective multiple classifier system. IJKESDP 2(2): 107-129 (2010)

Lorenzo Bruzzone, Mattia Marconcini: Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 770-787 (2010)

Selim Aksoy, Nicolas H. Younan, Lorenzo Bruzzone: Pattern Recognition in Remote Sensing. Pattern Recognition Letters 31(10): 1069-1070 (2010)

Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone: A support vector domain method for change detection in multitemporal images. Pattern Recognition Letters 31(10): 1148-1154 (2010)

Luis Gómez-Chova, Gustavo Camps-Valls, Lorenzo Bruzzone, Javier Calpe-Maravilla: Mean Map Kernel Methods for Semisupervised Cloud Classification. IEEE T. Geoscience and Remote Sensing 48(1-1): 207-220 (2010)

Claudio Persello, Lorenzo Bruzzone: A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images. IEEE T. Geoscience and Remote Sensing 48(3-1): 1232-1244 (2010)

Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone, Harm Greidanus: Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique. IEEE T. Geoscience and Remote Sensing 48(3-2): 1487-1504 (2010)

Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone: Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery. IEEE T. Geoscience and Remote Sensing 48(5): 2403-2420 (2010)

Chen Yang, Lorenzo Bruzzone, Fengyue Sun, Laijun Lu, Renchu Guan, Yanchun Liang: A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images. IEEE T. Geoscience and Remote Sensing 48(6): 2647-2659 (2010)

Jordi Muñoz-Marí, Francesca Bovolo, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls: Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data. IEEE T. Geoscience and Remote Sensing 48(8): 3188-3197 (2010)

Mauro Dalla Mura, Jon Atli Benediktsson, Björn Waske, Lorenzo Bruzzone: Morphological Attribute Profiles for the Analysis of Very High Resolution Images. IEEE T. Geoscience and Remote Sensing 48(10): 3747-3762 (2010)

Silvia Marchesi, Francesca Bovolo, Lorenzo Bruzzone: A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images. IEEE Transactions on Image Processing 19(7): 1877-1889 (2010)

Francesca Bovolo, Lorenzo Bruzzone, Lorenzo Carlin: A Novel Technique for Subpixel Image Classification Based on Support Vector Machine. IEEE Transactions on Image Processing 19(11): 2983-2999 (2010)

Mauro Dalla Mura, Jon Atli Benediktsson, Lorenzo Bruzzone: Classification of hyperspectral images with Extended Attribute Profiles and feature extraction techniques. IGARSS 2010: 76-79

Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone: Multiobjective model selection for non-linear regression techniques. IGARSS 2010: 268-271

Adamo Ferro, Dominik Brunner, Lorenzo Bruzzone: Building detection and radar footprint reconstruction from single VHR SAR images. IGARSS 2010: 292-295

Silvia Marchesi, Lorenzo Bruzzone: A registration-noise driven technique for the alignment of VHR remote sensing images. IGARSS 2010: 1023-1026

Lorenzo Bruzzone, Francesca Bovolo: A conceptual framework for change detection in very high resolution remote sensing images. IGARSS 2010: 2555-2558

Francesca Bovolo, Silvia Marchesi, Lorenzo Bruzzone: A nearly lossless 2d representation and characterization of change information in multispectral images. IGARSS 2010: 3074-3077

Dominik Brunner, Lorenzo Bruzzone, Guido Lemoine: Change detection for earthquake damage assessment in built-up areas using very high resolution optical and SAR imagery. IGARSS 2010: 3210-3213

Lorenzo Bruzzone, Claudio Persello: Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms. IGARSS 2010: 3720-3723

Hampapuram K. Ramapriyan, Liping Di, Lorenzo Bruzzone: Guest Editorial. IEEE T. Geoscience and Remote Sensing 47(1-1): 17-19 (2009)

Tatyana V. Bandos, Lorenzo Bruzzone, Gustavo Camps-Valls: Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis. IEEE T. Geoscience and Remote Sensing 47(3): 862-873 (2009)

Lorenzo Bruzzone, Mattia Marconcini: Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy. IEEE T. Geoscience and Remote Sensing 47(4): 1108-1122 (2009)

Lorenzo Bruzzone, Claudio Persello: A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples. IEEE T. Geoscience and Remote Sensing 47(7-2): 2142-2154 (2009)

Francesca Bovolo, Lorenzo Bruzzone, Silvia Marchesi: Analysis and Adaptive Estimation of the Registration Noise Distribution in Multitemporal VHR Images. IEEE T. Geoscience and Remote Sensing 47(8-1): 2658-2671 (2009)

Lorenzo Bruzzone, Claudio Persello: A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability. IEEE T. Geoscience and Remote Sensing 47(9): 3180-3191 (2009)

Claudio Persello, Lorenzo Bruzzone: A Novel Approach to the Selection of Spatially Invariant Features for Classification of Hyperspectral Images. IGARSS (2) 2009: 61-64

Mauro Dalla Mura, Jon Atli Benediktsson, Björn Waske, Lorenzo Bruzzone: Morphological Attribute Filters for the Analysis of Very High Resolution Remote Sensing Images. IGARSS (3) 2009: 97-100

Lorenzo Bruzzone, Claudio Persello: Active Learning for Classification of Remote Sensing Images. IGARSS (3) 2009: 693-696

Francesca Bovolo, Lorenzo Bruzzone: An Adaptive Multiscale Random Field Technique for Unsupervised Change Detection in VHR Multitemporal Images. IGARSS (4) 2009: 777-780

Silvia Marchesi, Lorenzo Bruzzone: ICA and Kernel ICA for Change Detection in Multispectral Remote Sensing Images. IGARSS (2) 2009: 980-983

Michele Dalponte, Lorenzo Bruzzone: Fusion of Hyperspectral and Lidar Remote Sensing Data for the Estimation of Tree Stem Diameters. IGARSS (2) 2009: 1008-1011

Giandomenico Nollo, Mattia Marconcini, Luca Faes, Francesca Bovolo, Flavia Ravelli, Lorenzo Bruzzone: An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. IEEE Trans. Biomed. Engineering 55(9): 2275-2285 (2008)

Shilpa Inamdar, Francesca Bovolo, Lorenzo Bruzzone, Subhasis Chaudhuri: Multidimensional Probability Density Function Matching for Preprocessing of Multitemporal Remote Sensing Images. IEEE T. Geoscience and Remote Sensing 46(4): 1243-1252 (2008)

Michele Dalponte, Lorenzo Bruzzone, Damiano Gianelle: Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas. IEEE T. Geoscience and Remote Sensing 46(5): 1416-1427 (2008)

Francesca Bovolo, Lorenzo Bruzzone, Mattia Marconcini: A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure. IEEE T. Geoscience and Remote Sensing 46(7): 2070-2082 (2008)

Lorenzo Bruzzone, Claudio Persello: A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images. IGARSS (1) 2008: 66-69

Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone: Extraction of Building Heights from VHR SAR Imagery using an Iterative Simulation and Match Procedure. IGARSS (4) 2008: 141-144

Francesca Bovolo, Lorenzo Bruzzone, Silvia Marchesi: A Context-Sensitive Technique Robust to Registration Noise for Change Detection in Very High Resolution Multispectral Images. IGARSS (3) 2008: 150-153

Francesca Bovolo, Lorenzo Bruzzone: An Adaptive Technique based on Similarity Measures for Change Detection in Very High Resolution SAR Images. IGARSS (3) 2008: 158-161

Lorenzo Bruzzone, Claudio Persello: A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images. IGARSS (2) 2008: 265-268

Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls, Javier Calpe-Maravilla: Semi-Supervised Remote Sensing Image Classification based on Clustering and the Mean Map Kernel. IGARSS (4) 2008: 391-394

Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani: Image thresholding based on the EM algorithm and the generalized Gaussian distribution. Pattern Recognition 40(2): 619-634 (2007)

Francesca Bovolo, Lorenzo Bruzzone: A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain. IEEE T. Geoscience and Remote Sensing 45(1): 218-236 (2007)

Susmita Ghosh, Lorenzo Bruzzone, Swarnajyoti Patra, Francesca Bovolo, Ashish Ghosh: A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks. IEEE T. Geoscience and Remote Sensing 45(3): 778-789 (2007)

Mihai Datcu, Sergio d'Elia, Roger L. King, Lorenzo Bruzzone: Introduction to the Special Section on Image Information Mining for Earth Observation Data. IEEE T. Geoscience and Remote Sensing 45(4): 795-798 (2007)

Francesca Bovolo, Lorenzo Bruzzone: A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment. IEEE T. Geoscience and Remote Sensing 45(6-1): 1658-1670 (2007)

Mingmin Chi, Lorenzo Bruzzone: Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal. IEEE T. Geoscience and Remote Sensing 45(6-2): 1870-1880 (2007)

Jordi Muñoz-Marí, Lorenzo Bruzzone, Gustavo Camps-Valls: A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images. IEEE T. Geoscience and Remote Sensing 45(8): 2683-2692 (2007)

Mattia Marconcini, Lorenzo Bruzzone: Partially-supervised updating of land-cover maps: A P²S²VM technique and a circular validation strategy. IGARSS 2007: 1079-1082

Francesca Bovolo, Lorenzo Bruzzone, Mattia Marconcini: An unsupervised change detection technique based on Bayesian initialization and semisupervised SVM. IGARSS 2007: 2370-2373

Dominik Brunner, Guido Lemoine, Joaquim Fortuny-Guasch, Lorenzo Bruzzone: Building characterisation in VHR SAR data acquired under controlled EMSL conditions. IGARSS 2007: 2694-2697

Mingmin Chi, Lorenzo Bruzzone: Classification of hyperspectral data by continuation semi-supervised SVM. IGARSS 2007: 3794-3797

Lorenzo Bruzzone, Mattia Marconcini, Claudio Persello: Fusion of spectral and spatial information by a novel SVM classification technique. IGARSS 2007: 4838-4841

Lorenzo Bruzzone, Francesca Bovolo, Silvia Marchesi: A Multiscale Change Detection Technique Robust to Registration Noise. PReMI 2007: 77-86

Mingmin Chi, Lorenzo Bruzzone: An ensemble-driven k-NN approach to ill-posed classification problems. Pattern Recognition Letters 27(4): 301-307 (2006)

Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda, Lorenzo Carlin: Badly posed classification of remotely sensed images-an experimental comparison of existing data labeling systems. IEEE T. Geoscience and Remote Sensing 44(1): 214-235 (2006)

Manjunath V. Joshi, Lorenzo Bruzzone, Subhasis Chaudhuri: A Model-Based Approach to Multiresolution Fusion in Remotely Sensed Images. IEEE T. Geoscience and Remote Sensing 44(9): 2549-2562 (2006)

Andrea Baraldi, Virginia Puzzolo, Palma Blonda, Lorenzo Bruzzone, Cristina Tarantino: Automatic Spectral Rule-Based Preliminary Mapping of Calibrated Landsat TM and ETM+ Images. IEEE T. Geoscience and Remote Sensing 44(9): 2563-2586 (2006)

Lorenzo Bruzzone, Lorenzo Carlin: A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images. IEEE T. Geoscience and Remote Sensing 44(9): 2587-2600 (2006)

Lorenzo Bruzzone, Mingmin Chi, Mattia Marconcini: A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images. IEEE T. Geoscience and Remote Sensing 44(11-2): 3363-3373 (2006)

Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda: A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. IEEE Transactions on Image Processing 15(8): 2208-2225 (2006)

K. Saroj, Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone: Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System. ICIT 2006: 209-212

B. Uma Shankar, Saroj K. Meher, Ashish Ghosh, Lorenzo Bruzzone: Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach. ICVGIP 2006: 128-139

Francesca Bovolo, Lorenzo Bruzzone: A Novel Theoretical Framework for Unsupervised Change Detection Based on CVA in Polar Domain. IGARSS 2006: 379-382

Antonio J. Plaza, Jon Atli Benediktsson, Joseph W. Boardman, J. Brazile, Lorenzo Bruzzone, G. Camps-Vails, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, J. Anthony Gualtieri, James C. Tilton, Giovanna Trianni: Advanced Processing of Hyperspectral Images. IGARSS 2006: 1974-1978

Lorenzo Bruzzone, Farid Melgani: Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data. IEEE T. Geoscience and Remote Sensing 43(1): 159-174 (2005)

Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda: Quality assessment of classification and cluster maps without ground truth knowledge. IEEE T. Geoscience and Remote Sensing 43(4): 857-873 (2005)

Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani: An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE T. Geoscience and Remote Sensing 43(4): 874-887 (2005)

Gustavo Camps-Valls, Lorenzo Bruzzone: Kernel-based methods for hyperspectral image classification. IEEE T. Geoscience and Remote Sensing 43(6): 1351-1362 (2005)

Francesca Bovolo, Lorenzo Bruzzone: A detail-preserving scale-driven approach to change detection in multitemporal SAR images. IEEE T. Geoscience and Remote Sensing 43(12): 2963-2972 (2005)

Francesca Bovolo, Lorenzo Bruzzone: An adaptive multiscale approach to unsupervised change detection in multitemporal SAR images. ICIP (1) 2005: 665-668

Lorenzo Bruzzone, Mingmin Chi, Mattia Marconcini: Transductive SVMs for semisupervised classification of hyperspectral data. IGARSS 2005: 4

Francesca Bovolo, Lorenzo Bruzzone: A multilevel parcel-based approach to change detection in very high resolution multitemporal images. IGARSS 2005: 2145-2148

Lorenzo Bruzzone, Mattia Marconcini: A novel T²-SVM for partially supervised classification of multitemporal remote sensing images. IGARSS 2005: 2815-2818

Lorenzo Bruzzone, Mattia Marconcini: A Novel T²-SVM for Partially Supervised Classification. PReMI 2005: 40-49

Mayank Tyagi, Ankit K. Mehra, Subhasis Chaudhuri, Lorenzo Bruzzone: Unsupervised Classification of Remote Sensing Data Using Graph Cut-Based Initialization. PReMI 2005: 206-211

Francesca Bovolo, Lorenzo Bruzzone: A Context-Sensitive Technique Based on Support Vector Machines for Image Classification. PReMI 2005: 260-265

Lorenzo Bruzzone, Roberto Cossu, Gianni Vernazza: Detection of land-cover transitions by combining multidate classifiers. Pattern Recognition Letters 25(13): 1491-1500 (2004)

Lorenzo Bruzzone, Mattia Marconcini, Urs Wegmüller, Andreas Wiesmann: An advanced system for the automatic classification of multitemporal SAR images. IEEE T. Geoscience and Remote Sensing 42(6): 1321-1334 (2004)

Farid Melgani, Lorenzo Bruzzone: Classification of hyperspectral remote sensing images with support vector machines. IEEE T. Geoscience and Remote Sensing 42(8): 1778-1790 (2004)

Lorenzo Bruzzone, Paul C. Smits, James C. Tilton: Foreword special issue on analysis of multitemporal remote sensing images. IEEE T. Geoscience and Remote Sensing 41(11): 2419-2422 (2003)

Lorenzo Bruzzone, Roberto Cossu: An adaptive approach to reducing registration noise effects in unsupervised change detection. IEEE T. Geoscience and Remote Sensing 41(11): 2455-2465 (2003)

Giovanni Simone, Alfonso Farina, Francesco Carlo Morabito, Sebastiano B. Serpico, Lorenzo Bruzzone: Image fusion techniques for remote sensing applications. Information Fusion 3(1): 3-15 (2002)

Lorenzo Bruzzone, Roberto Cossu, Gianni Vernazza: Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images. Information Fusion 3(4): 289-297 (2002)

Lorenzo Bruzzone, Diego Fernández-Prieto: A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images. Pattern Recognition Letters 23(9): 1063-1071 (2002)

Lorenzo Bruzzone, Roberto Cossu: A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps. IEEE T. Geoscience and Remote Sensing 40(9): 1984-1996 (2002)

Lorenzo Bruzzone, Diego Fernández-Prieto: An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images. IEEE Transactions on Image Processing 11(4): 452-466 (2002)

Lorenzo Bruzzone, Diego Fernández-Prieto: Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images. IEEE T. Geoscience and Remote Sensing 39(2): 456-460 (2001)

Sebastiano B. Serpico, Lorenzo Bruzzone: A new search algorithm for feature selection in hyperspectral remote sensing images. IEEE T. Geoscience and Remote Sensing 39(7): 1360-1367 (2001)

Lorenzo Bruzzone, Roberto Cossu: A Robust Multiple Classifier System for a Partially Unsupervised Updating of Land-Cover Maps. Multiple Classifier Systems 2001: 259-268

Giorgio Giacinto, Fabio Roli, Lorenzo Bruzzone: Combination of neural and statistical algorithms for supervised classification of remote-sensing image. Pattern Recognition Letters 21(5): 385-397 (2000)

Lorenzo Bruzzone: An approach to feature selection and classification of remote sensing images based on the Bayes rule for minimum cost. IEEE T. Geoscience and Remote Sensing 38(1): 429-438 (2000)

Lorenzo Bruzzone, Diego Fernández-Prieto: Automatic analysis of the difference image for unsupervised change detection. IEEE T. Geoscience and Remote Sensing 38(3): 1171-1182 (2000)

Lorenzo Bruzzone, Roberto Cossu, Diego Fernández-Prieto: Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps. Multiple Classifier Systems 2000: 290-299

Lorenzo Bruzzone, Diego Fernández-Prieto: An incremental-learning neural network for the classification of remote-sensing images. Pattern Recognition Letters 20(11-13): 1241-1248 (1999)

Lorenzo Bruzzone, Diego Fernández-Prieto: A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images. IEEE T. Geoscience and Remote Sensing 37(2): 1179-1184 (1999)

Lorenzo Bruzzone, Diego Fernández-Prieto, Sebastiano B. Serpico: A neural-statistical approach to multitemporal and multisource remote-sensing image classification. IEEE T. Geoscience and Remote Sensing 37(3): 1350-1359 (1999)

Lorenzo Bruzzone, Diego Fernández-Prieto: An MRF Approach to Unsupervised Change Detection. ICIP (1) 1999: 143-147

Lorenzo Bruzzone, Fabio Roli, Sebastiano B. Serpico: Structured neural networks for signal classification. Signal Processing 64(3): 271-290 (1998)

Lorenzo Bruzzone, Sebastiano B. Serpico: Classification of imbalanced remote-sensing data by neural networks. Pattern Recognition Letters 18(11-13): 1323-1328 (1997)

Sebastiano B. Serpico, Lorenzo Bruzzone, Fabio Roli: An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images. Pattern Recognition Letters 17(13): 1331-1341 (1996)

Lorenzo Bruzzone, Fabio Roli, Sebastiano B. Serpico: Crack Detection by a Measure of Texture Anisotropy. ICIAP 1995: 743-747