Index for bruz

Bruza, P. Co Author Listing * Online Combination of EPID-Cherenkov Imaging for 3-D Dosimetry in a Liquid Phantom

Bruzzi, J. Co Author Listing * Constrained Region-Based Segmentation of Pleural Effusion in Thin-Slice CT

Bruzzo, M.[Michele] Co Author Listing * Fuzzy Connectivity Tree for Hierarchical Extraction of Venous Structures, A
* Recognition of container code characters through gray-level feature extraction and gradient-based classifier optimization
Includes: Bruzzo, M.[Michele] Bruzzo, M.

Bruzzone, E. Co Author Listing * Applying two-dimensional delaunay triangulation to stereo data interpolation
* Three-Dimensional Surface Reconstruction Using Delaunay Triangulation in the Image Plane
* Two Data Structures for Building Tetrahedralizations

Bruzzone, G.[Gabriele] Co Author Listing * survey on real-time motion estimation techniques for underwater robots, A
* vision-based system for robotic inspection of marine vessels, A

Bruzzone, L. Co Author Listing * Active and Semisupervised Learning for the Classification of Remote Sensing Images
* Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images
* Active-learning based cascade classification of multitemporal images for updating land-cover maps
* adaptive approach to reducing registration noise effects in unsupervised change detection, An
* Adaptive Multiscale Approach to Unsupervised Change Detection in Multitemporal SAR Images, An
* adaptive parcel-based technique for unsupervised change detection, An
* adaptive semiparametric and context-based approach to unsupervised change detection multitemporal remote-sensing images, An
* Adaptive Semisupervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series, An
* Advanced System for the Automatic Classification of Multitemporal SAR Images, An
* Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
* Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions
* Analysis of Radar Sounder Signals for the Automatic Detection and Characterization of Subsurface Features
* Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors, An
* Approach to Feature Selection and Classification of Remote Sensing Images Based on the Bayes Rule for Minimum Cost, An
* Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution, An
* Automatic Analysis of the Difference Image for Unsupervised Change Detection
* Automatic Detection and Reconstruction of Building Radar Footprints From Single VHR SAR Images
* Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local Scale Hidden Markov Model and the Viterbi Algorithm
* Automatic Extraction and Analysis of Ice Layering in Radar Sounder Data
* Automatic Spectral Rule-Based Preliminary Mapping of Calibrated Landsat TM and ETM+ Images
* Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions
* Badly Posed Classification of Remotely Sensed Images: An Experimental Comparison of Existing Data Labeling Systems
* Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images
* Building Change Detection in Multitemporal Very High Resolution SAR Images
* Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique
* Circular change detection in image time series inspired by two-dimensional phase unwrapping
* Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis
* Classification of Imbalanced Remote Sensing Data by Neural Networks
* Classification of Multisensor Remote Sensing Images by Multiple Structured Neural Networks
* Classification of Time Series of Multispectral Images with Limited Training Data
* cluster-assumption based batch mode active learning technique, A
* Coherent Multilayer Simulator of Radargrams Acquired by Radar Sounder Instruments, A
* Combination of neural and statistical algorithms for supervised classification of remote-sensing images
* Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks, A
* Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images, A
* Crack detection by a measure of texture anisotropy
* Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss, A
* Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method
* Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A
* Detection of Changes in Remotely-Sensed Images by the Selective Use of Multispectral Information
* Detection of land-cover transitions by combining multidate classifiers
* Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification
* Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images
* Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
* Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery
* ensemble-driven k-NN approach to ill-posed classification problems, An
* Experimental Comparison of Neural and Statistical Nonparametric Algorithms for Supervised Classification of Remote Sensing Images, An
* Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images, A
* Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images
* Fine co-registration of VHR images for multitemporal Urban area analysis
* Foreword special issue on analysis of multitemporal remote sensing images
* Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images, A
* Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas
* Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images, A
* Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data, A
* Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives
* Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications, A
* Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest, A
* Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images
* Histogram-Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images
* Hyperspectral Band Selection Based on Rough Set
* Image thresholding based on the EM algorithm and the generalized Gaussian distribution
* Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images
* incremental-learning neural network for the classification of remote-sensing images, An
* Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images
* Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors: Italian Alps (Corvara)
* Interferometric Approach to Cross-Track Clutter Detection in Two-Channel VHF Radar Sounders, An
* Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data, An
* Introduction to the Special Section on Image Information Mining for Earth Observation Data
* Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning
* Kernel-Based Methods for Hyperspectral Image Classification
* Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
* local phase based invariant feature for remote sensing image matching, A
* Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data, A
* Mean Map Kernel Methods for Semisupervised Cloud Classification
* minimum-cost thresholding technique for unsupervised change detection, A
* Model-Based Approach to Multiresolution Fusion in Remotely Sensed Images, A
* Morphological Attribute Profiles for the Analysis of Very High Resolution Images
* MRF Approach to Unsupervised Change Detection, An
* Multidimensional Probability Density Function Matching for Preprocessing of Multitemporal Remote Sensing Images
* Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method
* multilevel approach to change detection for port surveillance with very high resolution SAR images, A
* Multilevel Context-Based System for Classification of Very High Spatial Resolution Images, A
* multiple criteria active learning method for support vector regression, A
* Multiple Kernel Learning for Remote Sensing Image Classification
* multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps, A
* Multiscale Change Detection Technique Robust to Registration Noise, A
* Multiscale Expectation-Maximization Semisupervised Classifier Suitable for Badly Posed Image Classification, A
* Multisquint Framework for Change Detection in High-Resolution Multitemporal SAR Images, A
* Neural-Statistical Approach to Multitemporal and Multisource Remote-Sensing Image Classification, A
* new search algorithm for feature selection in hyperspectral remote sensing images, A
* Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval, A
* Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas, A
* Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability, A
* Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure, A
* Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure, A
* novel classification technique based on progressive transductive SVM learning, A
* Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples, A
* Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains, A
* Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images, A
* Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair, A
* Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation, A
* novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors, A
* Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images, A
* Novel Sharpening Approach for Superresolving Multiresolution Optical Images, A
* Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification, A
* 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
* Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms, A
* Novel Technique for Subpixel Image Classification Based on Support Vector Machine, A
* Novel Technique for the Automatic Detection of Surface Clutter Returns in Radar Sounder Data, A
* Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images, A
* partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images, A
* Pattern Recognition in Remote Sensing
* Piecewise Linear Approximation of Vector-Valued Images and Curves via Second-Order Variational Model
* Quality Assessment of Classification and Cluster Maps Without Ground Truth Knowledge
* Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images
* Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach
* Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
* Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images
* Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal
* Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis
* Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data
* Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification
* Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images, A
* Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)
* Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images
* Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images
* Spatial and temporal mapping of leaf area index in Alpine pastures and meadows with satellite MODIS imagery
* Spatio-temporal evolution of crop fields in Sentinel-2 Satellite Image Time Series
* Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles
* Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series
* Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment, A
* Subsurface Radar Sounding of the Jovian Moon Ganymede
* Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images
* Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images, A
* support vector domain method for change detection in multitemporal images, A
* System for the Automatic Classification of Ice Sheet Subsurface Targets in Radar Sounder Data, A
* System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data, A
* technique for feature selection in multiclass problems, A
* Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image, A
* 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
* Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy
* Two-Stream Deep Architecture for Hyperspectral Image Classification
* Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images, An
* Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images
* Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
Includes: Bruzzone, L. Bruzzone, L.[Lorenzo]
146 for Bruzzone, L.

Index for "b"


Last update:18-May-19 16:46:03
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