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1202.6294
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
28 February 2012
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
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Papers citing
"Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches"
50 / 228 papers shown
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Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
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Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks
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Tensor completion using enhanced multiple modes low-rank prior and total variation
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Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing
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15 Mar 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
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Renlong Hang
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Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing incorporating Endmember Independence
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On Recoverability of Randomly Compressed Tensors with Low CP Rank
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AeroRIT: A New Scene for Hyperspectral Image Analysis
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Probabilistic Fitting of Topological Structure to Data
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Nonlinear Multiview Analysis: Identifiability and Neural Network-assisted Implementation
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Xiao Fu
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Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
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Self-supervised Hyperspectral Image Restoration using Separable Image Prior
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Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections
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Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
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Automatic Target Detection for Sparse Hyperspectral Images
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A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing
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A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation
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Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization
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Sparsity Constrained Distributed Unmixing of Hyperspectral Data
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Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
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Learning Nonlinear Mixtures: Identifiability and Algorithm
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Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
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Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms
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Towards Spectral Estimation from a Single RGB Image in the Wild
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Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
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On Statistical Learning of Simplices: Unmixing Problem Revisited
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Hamid R. Rabiee
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Residuum-Condition Diagram and Reduction of Over-Complete Endmember-Sets
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Identifiability of Complete Dictionary Learning
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Factor analysis of dynamic PET images: beyond Gaussian noise
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Endmember Extraction on the Grassmannian
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Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
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Comparison of VCA and GAEE algorithms for Endmember Extraction
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Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
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Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
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A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
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A particle-based variational approach to Bayesian Non-negative Matrix Factorization
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Machine learning based hyperspectral image analysis: A survey
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Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification
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A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
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Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging
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