Bruza, P.
* 2017: Online Combination of EPID-Cherenkov Imaging for 3-D Dosimetry in a Liquid Phantom
Bruza, V.[Vojtech]
* 2022: Geography Education in a Collaborative Virtual Environment: A Qualitative Study on Geography Teachers
Includes: Bruza, V.[Vojtech] Bruža, V.[Vojtech]
Bruzon, A.G.[Adrian G.]
* 2021: Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine Learning (ML) Algorithms
Includes: Bruzon, A.G.[Adrian G.] Bruzón, A.G.[Adrián G.]
Bruzzi, J.
* 2009: Constrained Region-Based Segmentation of Pleural Effusion in Thin-Slice CT
Bruzzo, M.[Michele]
* 2003: Fuzzy Connectivity Tree for Hierarchical Extraction of Venous Structures, A
* 2003: Recognition of container code characters through gray-level feature extraction and gradient-based classifier optimization
Includes: Bruzzo, M.[Michele] Bruzzo, M.
Bruzzone, E.
* 1990: Two Data Structures for Building Tetrahedralizations
* 1991: Three-Dimensional Surface Reconstruction Using Delaunay Triangulation in the Image Plane
* 1992: Applying two-dimensional delaunay triangulation to stereo data interpolation
Bruzzone, G.[Gabriele]
* 2016: survey on real-time motion estimation techniques for underwater robots, A
* 2018: vision-based system for robotic inspection of marine vessels, A
* 2020: Monitoring of Sea-Ice-Atmosphere Interface in the Proximity of Arctic Tidewater Glaciers: The Contribution of Marine Robotics
Bruzzone, L.
* 1995: Crack detection by a measure of texture anisotropy
* 1996: Classification of Multisensor Remote Sensing Images by Multiple Structured Neural Networks
* 1996: Experimental Comparison of Neural and Statistical Nonparametric Algorithms for Supervised Classification of Remote Sensing Images, An
* 1997: Classification of Imbalanced Remote Sensing Data by Neural Networks
* 1997: Detection of Changes in Remotely-Sensed Images by the Selective Use of Multispectral Information
* 1999: incremental-learning neural network for the classification of remote-sensing images, An
* 1999: MRF Approach to Unsupervised Change Detection, An
* 1999: Neural-Statistical Approach to Multitemporal and Multisource Remote-Sensing Image Classification, A
* 2000: adaptive parcel-based technique for unsupervised change detection, An
* 2000: Approach to Feature Selection and Classification of Remote Sensing Images Based on the Bayes Rule for Minimum Cost, An
* 2000: Automatic Analysis of the Difference Image for Unsupervised Change Detection
* 2000: Combination of neural and statistical algorithms for supervised classification of remote-sensing images
* 2000: minimum-cost thresholding technique for unsupervised change detection, A
* 2000: technique for feature selection in multiclass problems, A
* 2001: new search algorithm for feature selection in hyperspectral remote sensing images, A
* 2002: adaptive semiparametric and context-based approach to unsupervised change detection multitemporal remote-sensing images, An
* 2002: multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps, A
* 2002: partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images, A
* 2003: adaptive approach to reducing registration noise effects in unsupervised change detection, An
* 2003: Foreword special issue on analysis of multitemporal remote sensing images
* 2004: Advanced System for the Automatic Classification of Multitemporal SAR Images, An
* 2004: Detection of land-cover transitions by combining multidate classifiers
* 2005: Adaptive Multiscale Approach to Unsupervised Change Detection in Multitemporal SAR Images, An
* 2005: Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A
* 2005: Kernel-Based Methods for Hyperspectral Image Classification
* 2005: Quality Assessment of Classification and Cluster Maps Without Ground Truth Knowledge
* 2005: Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images, An
* 2006: Automatic Spectral Rule-Based Preliminary Mapping of Calibrated Landsat TM and ETM+ Images
* 2006: Badly Posed Classification of Remotely Sensed Images: An Experimental Comparison of Existing Data Labeling Systems
* 2006: ensemble-driven k-NN approach to ill-posed classification problems, An
* 2006: Model-Based Approach to Multiresolution Fusion in Remotely Sensed Images, A
* 2006: Multilevel Context-Based System for Classification of Very High Spatial Resolution Images, A
* 2006: Multiscale Expectation-Maximization Semisupervised Classifier Suitable for Badly Posed Image Classification, A
* 2006: Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images, A
* 2006: Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach
* 2007: Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks, A
* 2007: Image thresholding based on the EM algorithm and the generalized Gaussian distribution
* 2007: Introduction to the Special Section on Image Information Mining for Earth Observation Data
* 2007: Multiscale Change Detection Technique Robust to Registration Noise, A
* 2007: Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal
* 2007: Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment, A
* 2007: Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images, A
* 2008: Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas
* 2008: Multidimensional Probability Density Function Matching for Preprocessing of Multitemporal Remote Sensing Images
* 2008: Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure, A
* 2009: Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis
* 2009: Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability, A
* 2009: Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples, A
* 2009: Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy
* 2010: Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique
* 2010: Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images, A
* 2010: Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
* 2010: Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery
* 2010: Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images, A
* 2010: Mean Map Kernel Methods for Semisupervised Cloud Classification
* 2010: Morphological Attribute Profiles for the Analysis of Very High Resolution Images
* 2010: Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images, A
* 2010: Novel Technique for Subpixel Image Classification Based on Support Vector Machine, A
* 2010: Pattern Recognition in Remote Sensing
* 2010: Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data
* 2010: Support Vector Domain Method For Change Detection In Multitemporal Images, A
* 2011: Active-learning based cascade classification of multitemporal images for updating land-cover maps
* 2011: Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images
* 2011: Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images, A
* 2011: multilevel approach to change detection for port surveillance with very high resolution SAR images, A
* 2011: Spatial and temporal mapping of leaf area index in Alpine pastures and meadows with satellite MODIS imagery
* 2011: Subsurface Radar Sounding of the Jovian Moon Ganymede
* 2011: System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data, A
* 2012: Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images
* 2012: Analysis of Radar Sounder Signals for the Automatic Detection and Characterization of Subsurface Features
* 2012: cluster-assumption based batch mode active learning technique, A
* 2012: Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification
* 2012: Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images, A
* 2012: Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains, A
* 2013: Automatic Detection and Reconstruction of Building Radar Footprints From Single VHR SAR Images
* 2013: Automatic Extraction and Analysis of Ice Layering in Radar Sounder Data
* 2013: Classification of Time Series of Multispectral Images with Limited Training Data
* 2013: Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications, A
* 2013: Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images
* 2013: Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images
* 2013: Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images, A
* 2013: Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms, A
* 2013: Novel Technique for the Automatic Detection of Surface Clutter Returns in Radar Sounder Data, A
* 2013: Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
* 2014: Active and Semisupervised Learning for the Classification of Remote Sensing Images
* 2014: Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
* 2014: Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method
* 2014: multiple criteria active learning method for support vector regression, A
* 2014: novel classification technique based on progressive transductive SVM learning, A
* 2014: Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification, A
* 2014: Novel Technique Based on the Combination of Labeled Co-Occurrence Matrix and Variogram for the Detection of Built-up Areas in High-Resolution SAR Images, A
* 2014: Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis
* 2015: Adaptive Semisupervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series, An
* 2015: Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution, An
* 2015: Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions
* 2015: Building Change Detection in Multitemporal Very High Resolution SAR Images
* 2015: Fine co-registration of VHR images for multitemporal Urban area analysis
* 2015: Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images
* 2015: Hyperspectral Band Selection Based on Rough Set
* 2015: Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval, A
* 2015: Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair, A
* 2015: Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images
* 2015: Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification
* 2015: Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images
* 2015: Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles
* 2015: System for the Automatic Classification of Ice Sheet Subsurface Targets in Radar Sounder Data, A
* 2015: Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images, A
* 2016: Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives
* 2016: Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest, A
* 2016: Histogram-Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images
* 2016: Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning
* 2016: Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation, A
* 2016: Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images
* 2016: Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series
* 2016: Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images
* 2017: Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions
* 2017: Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local Scale Hidden Markov Model and the Viterbi Algorithm
* 2017: Circular change detection in image time series inspired by two-dimensional phase unwrapping
* 2017: Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images
* 2017: Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images
* 2017: Interferometric Approach to Cross-Track Clutter Detection in Two-Channel VHF Radar Sounders, An
* 2017: Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data, An
* 2017: Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure, A
* 2017: novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors, A
* 2017: Piecewise Linear Approximation of Vector-Valued Images and Curves via Second-Order Variational Model
* 2017: Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
* 2017: Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images
* 2017: Spatio-temporal evolution of crop fields in Sentinel-2 Satellite Image Time Series
* 2018: Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors, An
* 2018: Coherent Multilayer Simulator of Radargrams Acquired by Radar Sounder Instruments, A
* 2018: Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss, A
* 2018: Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors: Italian Alps (Corvara)
* 2018: local phase based invariant feature for remote sensing image matching, A
* 2018: Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method
* 2018: Multiple Kernel Learning for Remote Sensing Image Classification
* 2018: Multisquint Framework for Change Detection in High-Resolution Multitemporal SAR Images, A
* 2018: Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas, A
* 2018: Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images, A
* 2018: Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)
* 2018: Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images
* 2018: Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image, A
* 2018: Two-Stream Deep Architecture for Hyperspectral Image Classification
* 2019: Approach to the Simulation of Radar Sounder Radargrams Based on Geological Analogs, An
* 2019: ASI Integrated Sounder-SAR System Operating in the UHF-VHF Bands: First Results of the 2018 Helicopter-Borne Morocco Desert Campaign, The
* 2019: Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data, An
* 2019: Distributed Radar Sounder: A Novel Concept for Subsurface Investigations Using Sensors in Formation Flight
* 2019: Fast and Robust Matching for Multimodal Remote Sensing Image Registration
* 2019: Generation of Homogeneous VHR Time Series by Nonparametric Regression of Multisensor Bitemporal Images
* 2019: Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data, A
* 2019: Improving SWE Estimation by Fusion of Snow Models with Topographic and Remotely Sensed Data
* 2019: Infrared Small Target Detection Based on Facet Kernel and Random Walker
* 2019: Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
* 2019: Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data, A
* 2019: Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images, A
* 2019: Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors, A
* 2019: Novel Sharpening Approach for Superresolving Multiresolution Optical Images, A
* 2019: Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors
* 2019: Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification
* 2019: Threshold-Free Attribute Profile for Classification of Hyperspectral Images
* 2019: Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
* 2020: Coherent Method for Simulating Active and Passive Radar Sounding of the Jovian Icy Moons, A
* 2020: Explainable Convolutional Autoencoder Model for Unsupervised Change Detection, An
* 2020: Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances
* 2020: Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series, A
* 2020: Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images
* 2020: Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images, A
* 2020: Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon
* 2020: Progressive Content-Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives, A
* 2020: Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images
* 2020: Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture
* 2020: Single Model CNN for Hyperspectral Image Denoising, A
* 2020: Snow Cover Estimation Underneath the Clouds Based on Multitemporal Correlation Analysis in Historical Time-Series Imagery
* 2020: Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images
* 2020: Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2
* 2021: Analysis of Temporal and Structural Characteristics of Jovian Radio Emissions for Passive Radar Sounding of Jupiter's Icy Moons
* 2021: Approach to the Generation and Analysis of Databases of Simulated Radar Sounder Data for Performance Prediction and Target Interpretation, An
* 2021: ARU-Net: Reduction of Atmospheric Phase Screen in SAR Interferometry Using Attention-Based Deep Residual U-Net
* 2021: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
* 2021: Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
* 2021: Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data, A
* 2021: DiResNet: Direction-Aware Residual Network for Road Extraction in VHR Remote Sensing Images
* 2021: F-Net: Deep Residual Learning for InSAR Parameters Estimation
* 2021: Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes
* 2021: LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images
* 2021: Mars Surface Imaging by Exploiting Off-Nadir Radar Sounding Data
* 2021: Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products, A
* 2021: Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
* 2021: Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain
* 2021: SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images
* 2021: Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification
* 2022: Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
* 2022: CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification, A
* 2022: Unsupervised Fuzzy System for the Automatic Detection of Candidate Lava Tubes in Radar Sounder Data, An
* 2024: Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins
Includes: Bruzzone, L. Bruzzone, L.[Lorenzo]
194 for Bruzzone, L.