Zerubia, J.
* 1999: Two Markov point processes for simulating line networks
* 2006: SAR Image Filtering Based on the Heavy-Tailed Rayleigh Model
* 2018: Connected-Tube MPP Model for Object Detection with Application to Materials and Remotely-Sensed Images, A
* 2019: Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images
* 2019: Feature Extraction and Tracking of CNN Segmentations for Improved Road Detection from Satellite Imagery
* 2020: Generative Adversarial Networks As A Novel Approach for Tectonic Fault And Fracture Extraction In High-resolution Satellite and Airborne Optical Images
* 2021: Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles
* 2022: Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images
* 2024: Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images
Includes: Zerubia, J. Zerubia, J.[Josiane]
9 for Zerubia, J.
Zerubia, J.B.
* 1992: cooperative network for contour grouping, A
* 1992: Universal Knowledge-Based Imaging System for Hazardous Environments, A
* 1993: Classical Mechanics and Road Detection in SPOT Images
* 1993: Mean Field Annealing Using Compound Gauss-Markov Random Fields for Edge Detection and Image Estimation
* 1993: Multiscale Markov Random Field Models for Parallel Image Classification
* 1994: Markovian Model for Contour Grouping, A
* 1994: Multi-temperature annealing: a new approach for the energy-minimization of hierarchical Markov random field models
* 1994: New Prospects in Line Detection for Remote Sensing Images
* 1994: Reconstruction of High Resolution 3D Visual Information Using Sub-pixel Camera Displacements
* 1995: 3D super-resolution using generalized sampling expansion
* 1995: DPA: a deterministic approach to the MAP problem
* 1995: Markovian Model for Contour Grouping, A
* 1995: Sub-pixel Reconstruction of a Variable Albedo Lambertian Surface
* 1995: Unsupervised Parallel Image Classification Using a Hierarchical Markovian Model
* 1996: Bayesian Image Classification Using Markov Random-Fields
* 1996: Hierarchical Markov Random-Field Model and Multitemperature Annealing for Parallel Image Classification, A
* 1996: New Prospects in Line Detection by Dynamic-Programming
* 1996: Sub-pixel Bayesian-Estimation of Albedo and Height
* 1996: Subpixel Image Registration by Estimating the Polyphase Decomposition of the Cross Power Spectrum
* 1997: Fully Bayesian Image Segmentation: An Engineering Perspective
* 1997: Multigrid MRF based picture segmentation with cellular neural networks
* 1997: Super-Resolution with Adaptive Regularization
* 1998: Image retrieval and indexing: a hierarchical approach in computing the distance between textured images
* 1998: Unsupervised deconvolution of satellite images
* 1999: Estimation of Markov Random Field Prior Parameters Using Markov Chain Monte Carlo Maximum Likelihood
* 1999: Level Set Model for Image Classification, A
* 1999: Simultaneous Image Classification and Restoration Using a Variational Approach
* 1999: Texture Analysis through Markov Random Fields: Urban Areas Extraction
* 1999: Unsupervised parallel image classification using Markovian models
* 2000: Deformation of a Cartographic Road Network on a SPOT Satellite Image
* 2000: Estimation of Adaptive Parameters for Satellite Image Deconvolution
* 2000: Fully Unsupervised Fuzzy Clustering with Entropy Criterion
* 2000: Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
* 2000: Level Set Model for Image Classification, A
* 2000: Satellite Image Deconvolution Using Complex Wavelet Packets
* 2000: Texture Analysis through a Markovian Modelling and Fuzzy Classification: Application to Urban Area Extraction from Satellite Images
* 2000: Variational Model for Image Classification and Restoration, A
* 2001: Building Detection by Markov Object Processes
* 2001: Building Detection by Markov Object processes and a MCMC Algorithm
* 2001: Image Deconvolution Using Hidden Markov Tree Modeling of Complex Wavelet Packets
* 2001: Two Variational Models for Multispectral Image Classification
* 2002: Analyse de texture hyperspectrale par modélisation markovien
* 2002: Analyse intra-urbaine à partir d'images satellitaires par une approche de fusion de données sur la ville de Mexico
* 2002: Building Extraction from Digital Elevation Model
* 2002: Comparative Study of Point Processes for Line Network Extraction i, A
* 2002: Extension of phase correlation to subpixel registration
* 2002: gauss-markov model for hyperspectral texture analysis of urban areas, A
* 2002: Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
* 2002: Local registration and deformation of a road cartographic database on a SPOT satellite image
* 2002: Object point processes for image segmentation
* 2002: Satellite and aerial image deconvolution using an EM method with complex wavelets
* 2002: Segmentation of Textured Satellite and Aerial Images by Bayesian Inference
* 2003: Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images
* 2003: Automatic 3D land register extraction from altimetric data in dense urban areas
* 2003: binary tree-structured MRF model for multispectral satellite image segmentation, A
* 2003: Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* 2003: Improved RJMCMC point process sampler for object detection on images by simulated annealing
* 2003: Probabilistic Framework for Adaptive Texture Description, A
* 2003: Road network extraction in remote sensing by a Markov object process
* 2003: Satellite Image Deblurring Using Complex Wavelet Packets
* 2003: Skewed alpha-stable distributions for modelling textures
* 2003: Texture analysis: an adaptive probabilistic approach
* 2004: Adaptive Gaussian Model for Satellite Image Deblurring, An
* 2004: Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* 2004: Gap closure in (road) networks using higher-order active contours
* 2004: Gibbs Point Process for Road Extraction from Remotely Sensed Images, A
* 2004: Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* 2004: Modeling SAR Images With a Generalization of the Rayleigh Distribution
* 2004: Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients
* 2004: SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* 2004: Segmentation of remote-sensing images by supervised TS-MRF
* 2004: Texture analysis using adaptive biorthogonal wavelet packets
* 2004: Texture discrimination using multimodal wavelet packet subbands
* 2005: Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application
* 2005: Higher Order Active Contours
* 2005: Marked Point Process Model for Tree Crown Extraction in Plantations, A
* 2005: Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models, A
* 2005: New Higher-Order Active Contour Energies for Network Extraction
* 2005: Parametric Model for Automatic 3D Building Reconstruction from High Resolution Satellite Images, A
* 2005: Point Processes for Unsupervised Line Network Extraction in Remote Sensing
* 2005: Point processes in forestry: an application to tree crown detection
* 2005: Supervised segmentation of remote sensing images based on a tree-structured MRF model
* 2005: Textural Kernel for SVM Classification in Remote Sensing: Application to Forest Fire Detection and Urban Area Extraction
* 2005: Texture-Adaptive Mother Wavelet Selection for Texture Analysis
* 2006: 2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes
* 2006: Automatic Building Reconstruction Method: A Structural Approach using High Resolution Satellite Images, An
* 2006: Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* 2006: Higher Order Active Contours
* 2006: Higher-Order Active Contour Model for Tree Detection, A
* 2006: Improved Gas of Circles Higher-Order Active Contour Model and Its Application to Tree Crown Extraction, An
* 2006: Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes, A
* 2006: SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* 2007: 3D City Modeling Based on Hidden Markov Model
* 2007: Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
* 2007: Hierarchical Texture Model for Unsupervised Segmentation of Remotely Sensed Images, A
* 2007: Higher-Order Active Contour Energies for Gap Closure
* 2007: Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs, A
* 2007: phase field model incorporating generic and specific prior knowledge applied to road network extraction from VHR satellite images, A
* 2008: Automatic Building Extraction from DEMs Using an Object Approach and Application to the 3D-City Modeling
* 2008: Building reconstruction from a single DEM
* 2008: Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR Satellite Images, An
* 2008: Extraction of Main and Secondary Roads in VHR Images Using A Higher-Order Phase Field Model
* 2008: Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models, A
* 2008: New Computationally Efficient Stochastic Approach for Building Reconstruction from Satellite Data, A
* 2008: Phase diagram of a long bar under a higher-order active contour energy: Application to hydrographic network extraction from VHR satellite images
* 2009: Building extraction and change detection in multitemporal remotely sensed images with multiple birth and death dynamics
* 2009: Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model
* 2009: Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
* 2009: Higher-Order Active Contour Model of a Gas of Circles and its Application to Tree Crown Extraction, A
* 2009: Multi-class SVM for forestry classification
* 2009: Object extraction from high resolution SAR images using a birth and death dynamics
* 2009: Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images
* 2009: phase field higher-order active contour model of directed networks, A
* 2010: Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles
* 2010: Extended Phase Field Higher-Order Active Contour Models for Networks: Its Application to Road Network Extraction from VHR Satellite Images
* 2010: Multi-spectral image analysis for skin pigmentation classification
* 2010: Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing images
* 2010: Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model
* 2010: Structural Approach for Building Reconstruction from a Single DSM
* 2010: Theoretical and Numerical Study of a Phase Field Higher-Order Active Contour Model of Directed Networks, A
* 2010: Unsupervised line network extraction in remote sensing using a polyline process
* 2011: Estimation of an optimal spectral band combination to evaluate skin disease treatment efficacy using multi-spectral images
* 2011: fast Multiple Birth and Cut algorithm using belief propagation, A
* 2011: Generating compact meshes under planar constraints: An automatic approach for modeling buildings from aerial LiDAR
* 2011: SAR image classification with non-stationary Multinomial Logistic mixture of amplitude and texture densities
* 2012: Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics
* 2012: Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test
* 2013: False discovery rate approach to image change detection
* 2013: Melanin and Hemoglobin Identification for Skin Disease Analysis
* 2013: Multi-scale analysis of skin hyper-pigmentation evolution
* 2013: On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
* 2013: Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model
* 2013: Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed images
* 2014: Marked point process model for facial wrinkle detection
* 2014: Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences, A
* 2014: New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data
* 2014: Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach
* 2015: Image-based evaluation of treatment responses of facial wrinkles using LDDMM registration and Gabor features
* 2015: Joint Detection and Tracking of Moving Objects Using Spatio-temporal Marked Point Processes
* 2015: Marked Point Process Model for Curvilinear Structures Extraction
* 2015: Multilayer Markov Random Field models for change detection in optical remote sensing images
* 2015: Stochastic model for curvilinear structure reconstruction using morphological profiles
* 2016: Contextual multi-scale image classification on quadtree
* 2016: False Discovery Rate Approach to Unsupervised Image Change Detection
* 2016: New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data, A
* 2016: Stochastic geometry for multiple object tracking in fluorescence microscopy
* 2016: Unsupervised Learning of Generalized Gamma Mixture Model With Application in Statistical Modeling of High-Resolution SAR Images
Includes: Zerubia, J.B. Zerubia, J.B.[Josiane B.]
147 for Zerubia, J.B.