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