Dobias, M.[Martin]
Co Author Listing * Real-time global prediction for temporally stable stereo
Dobie, G.
Co Author Listing * Breast Cancer: Model Reconstruction and Image Registration From Segmented Deformed Image Using Visual and Force Based Analysis
Dobie, M.
Co Author Listing * Content-Based Navigation from Images
Dobie, M.R.
Co Author Listing * Data Structures for Image Processing in C
* Extracting curvilinear features from remotely sensed images using minimum cost path techniques
Dobigeon, N.
Co Author Listing * Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images
* Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model: Application to Hyperspectral Imagery
* Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response
* Computing the Cramer-Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models
* Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images
* Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach
* Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream: Application to the MADRAS Instrument
* Enhancing Hyperspectral Image Unmixing With Spatial Correlations
* Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm
* Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise
* Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
* Fast Single Image Super-Resolution Using a New Analytical Solution for L_2- L_2 Problems
* Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems
* Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning
* Hierarchical Bayesian Sparse Image Reconstruction With Application to MRFM
* Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability
* Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
* Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization
* Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation
* Informed Spatial Regularizations For Fast Fusion Of Astronomical Images
* Inverse problem formulation for regularity estimation in images
* Joint Bayesian Estimation of Close Subspaces from Noisy Measurements
* Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images
* Multiband Image Fusion Based on Spectral Unmixing
* Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps
* Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization
* Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model
* Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms
* Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model
* Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability
* Partially Asynchronous Distributed Unmixing of Hyperspectral Images
* Probabilistic Simplex Component Analysis by Importance Sampling
* Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures
* R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation
* Residual Component Analysis of Hyperspectral Images: Application to Joint Nonlinear Unmixing and Nonlinearity Detection
* Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model
* Semi-Blind Sparse Image Reconstruction With Application to MRFM
* Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery
* Toward Fast Transform Learning
* Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
* Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability
Includes: Dobigeon, N. Dobigeon, N.[Nicolas]
41 for Dobigeon, N.
Dobis, L.[Lukas]
Co Author Listing * CloudSatNet-1: FPGA-Based Hardware-Accelerated Quantized CNN for Satellite On-Board Cloud Coverage Classification