| _ | unmixing | _ |
|---|
| About the Applications of | unmixing | -Based Denoising for Hyperspectral Data |
| Abundance Characteristic-Based Independent Component Analysis for Hyperspectral | unmixing | , An |
| Abundance guided endmember selection: An algorithm for | unmixing | hyperspectral data |
| Accelerating spectral | unmixing | by using clustered images |
| Adaptive Markov Random Fields for Joint | unmixing | and Segmentation of Hyperspectral Images |
| Adaptive non-local Euclidean medians sparse | unmixing | for hyperspectral imagery |
| Adaptive-Parameter Pixel | unmixing | Method for Mapping Evergreen Forest Fractions Based on Time-Series NDVI: A Case Study of Southern China, An |
| Advances in Hyperspectral and Multispectral Image Fusion and Spectral | unmixing | |
| Application of Abundance Map Reference Data for Spectral | unmixing | |
| Applying Spectral | unmixing | to Determine Surface Water Parameters in a Mining Environment |
| Arctic sea ice melt pond fraction in 2000-2021 derived by dynamic pixel spectral | unmixing | of MODIS images |
| Assessing Soil Cover Levels during the Non-Growing Season Using Multitemporal Satellite Imagery and Spectral | unmixing | Techniques |
| Attention-Based 3D Convolutional Autoencoder for Few-Shot Hyperspectral | unmixing | and Classification, An |
| Attention-Based Residual Network with Scattering Transform Features for Hyperspectral | unmixing | with Limited Training Samples |
| Augmented GBM Nonlinear Model to Address Spectral Variability for Hyperspectral | unmixing | |
| Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral | unmixing | , An |
| Automated Surface Runoff Estimation with the Spectral | unmixing | of Remotely Sensed Multispectral Imagery |
| Automatic Spectral | unmixing | of Leishmania Infection Macrophage Cell Cultures Image |
| Band Selection for Nonlinear | unmixing | of Hyperspectral Images as a Maximal Clique Problem |
| Band selection using variational mode decomposition applied in sparsity-based hyperspectral | unmixing | algorithms |
| Band-Wise Nonlinear | unmixing | for Hyperspectral Imagery Using an Extended Multilinear Mixing Model |
| Bayesian Approach to Linear | unmixing | in the Presence of Highly Mixed Spectra, A |
| Bayesian | unmixing | of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability |
| Beyond Pixel-Wise | unmixing | : Spatial-Spectral Attention Fully Convolutional Networks for Abundance Estimation |
| Bilateral Filter Regularized L2 Sparse Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Bilinear normal mixing model for spectral | unmixing | |
| Blind and Fully Constrained | unmixing | of Hyperspectral Images |
| Blind Hyperspectral | unmixing | Based on Graph Total Variation Regularization |
| Blind Hyperspectral | unmixing | Considering the Adjacency Effect |
| Blind Hyperspectral | unmixing | Using an Extended Linear Mixing Model to Address Spectral Variability |
| Blind Hyperspectral | unmixing | Using Total Variation and L_q Sparse Regularization |
| Blind Hyperspectral | unmixing | with Enhanced 2DTV Regularization Term |
| Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral | unmixing | , A |
| Blind nonlinear hyperspectral | unmixing | based on constrained kernel nonnegative matrix factorization |
| Blind spatial | unmixing | of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints |
| Blind spectral | unmixing | based on sparse component analysis for hyperspectral remote sensing imagery |
| Blind Spectral | unmixing | Based on Sparse Nonnegative Matrix Factorization |
| Blind spectral | unmixing | for compressive hyperspectral imaging of highly mixed data |
| Blind | unmixing | of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint |
| Catadioptric hyperspectral imaging, an | unmixing | approach |
| Chance-Constrained Robust Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral | unmixing | |
| Class-based spectral reconstruction based on | unmixing | of low-resolution spectral information |
| Classification-Based Model for Multi-Objective Hyperspectral Sparse | unmixing | , A |
| Cloud removal in image time series through | unmixing | |
| Cluster constraint based sparse NMF for hyperspectral imagery | unmixing | |
| Cluster-Wise Weighted NMF for Hyperspectral Images | unmixing | with Imbalanced Data |
| Collaborative Sparse Hyperspectral | unmixing | Using L_0 Norm |
| Collaborative Sparse Regression for Hyperspectral | unmixing | |
| Collaborative sparse regression using spatially correlated supports-Application to hyperspectral | unmixing | |
| Collaborative | unmixing | Hyperspectral Imagery via Nonnegative Matrix Factorization |
| Combining Linear Pixel | unmixing | and STARFM for Spatiotemporal Fusion of Gaofen-1 Wide Field of View Imagery and MODIS Imagery |
| Combining Spectral | unmixing | and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification |
| Combining | unmixing | and Deep Feature Learning for Hyperspectral Image Classification |
| Comparison Between Three Sparse | unmixing | Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra, A |
| Comparison of pixel | unmixing | models in the evaluation of post-fire forest resilience based on temporal series of satellite imagery at moderate and very high spatial resolution |
| Complementarity of Discriminative Classifiers and Spectral | unmixing | Techniques for the Interpretation of Hyperspectral Images |
| Compressive hyperspectral imaging and | unmixing | using spectral library |
| Compressive Sensing and | unmixing | Scheme for Hyperspectral Data Processing, A |
| Constrained Inversion and Spectral | unmixing | in Multispectral Optoacoustic Tomography |
| Constrained Least Squares Algorithms for Nonlinear | unmixing | of Hyperspectral Imagery |
| Convolutional Autoencoder for Spectral-Spatial Hyperspectral | unmixing | |
| Correntropy Maximization via ADMM: Application to Robust Hyperspectral | unmixing | |
| Correntropy-Based Spatial-Spectral Robust Sparsity-Regularized Hyperspectral | unmixing | |
| Coupled Nonnegative Matrix Factorization | unmixing | for Hyperspectral and Multispectral Data Fusion |
| Coupled Sparse Denoising and | unmixing | With Low-Rank Constraint for Hyperspectral Image |
| Coverage segmentation based on linear | unmixing | and minimization of perimeter and boundary thickness |
| Crop Yield Estimation Based on Unsupervised Linear | unmixing | of Multidate Hyperspectral Imagery |
| Cross-attention in Coupled | unmixing | Nets for Unsupervised Hyperspectral Super-resolution |
| CU-Net: Component | unmixing | Network for Textile Fiber Identification |
| Cubesat-derived Detection of Seagrasses Using Planet Imagery Following | unmixing | -based Denoising: Is Small the Next Big? |
| DAEN: Deep Autoencoder Networks for Hyperspectral | unmixing | |
| Data Dependent Multiscale Model for Hyperspectral | unmixing | With Spectral Variability, A |
| Deblurring and Sparse | unmixing | for Hyperspectral Images |
| Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral | unmixing | |
| Deep Ensembles for Hyperspectral Image Data Classification and | unmixing | |
| Deep Learning-Based Spectral | unmixing | for Optoacoustic Imaging of Tissue Oxygen Saturation |
| Deep Nonnegative Dictionary Factorization for Hyperspectral | unmixing | |
| Deep Spectral Convolution Network for Hyperspectral | unmixing | |
| Deep spectral | unmixing | framework via 3D denoising convolutional autoencoder |
| Deep-learning-based latent space encoding for spectral | unmixing | of geological materials |
| Dependent Component Analysis: A Hyperspectral | unmixing | Algorithm |
| Development of a Network-Based Method for | unmixing | of Hyperspectral Data |
| DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral | unmixing | |
| Differentiable Programming for Hyperspectral | unmixing | Using a Physics-based Dispersion Model |
| DLR HySU: A Benchmark Dataset for Spectral | unmixing | |
| Does Deblurring Improve Geometrical Hyperspectral | unmixing | ? |
| Does Independent Component Analysis Play a Role in | unmixing | Hyperspectral Data? |
| Double Constrained NMF for Hyperspectral | unmixing | |
| Double Reweighted Sparse Regression and Graph Regularization for Hyperspectral | unmixing | |
| Dual Graph Regularized NMF for Hyperspectral | unmixing | |
| Dual-View Hyperspectral Anomaly Detection via Spatial Consistency and Spectral | unmixing | |
| Dynamical Hyperspectral | unmixing | With Variational Recurrent Neural Networks |
| Dynamical Spectral | unmixing | of Multitemporal Hyperspectral Images |
| Editorial for the Special Issue New Advances on Sub-Pixel Processing: | unmixing | and Mapping Methods |
| Efficient Blind Hyperspectral | unmixing | Framework Based on CUR Decomposition (CUR-HU) |
| End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral | unmixing | |
| Endmember Bundle Extraction Method Based on Multiscale Sampling to Address Spectral Variability for Hyperspectral | unmixing | , An |
| Endmember Initialization Scheme for Nonnegative Matrix Factorization and Its Application in Hyperspectral | unmixing | , An |
| Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral | unmixing | |
| EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral | unmixing | |
| Energy-Based | unmixing | Method for Low Background Concentration Oil Spills at Sea |
| Enhancing Hyperspectral Image | unmixing | With Spatial Correlations |
| Enhancing Solar-Induced Fluorescence Interpretation: Quantifying Fractional Sunlit Vegetation Cover Using Linear Spectral | unmixing | |
| Entropic Descent Archetypal Analysis for Blind Hyperspectral | unmixing | |
| Estimating forest species abundance through linear | unmixing | of CHRIS/PROBA imagery |
| Estimation of Mineral Abundance From Hyperspectral Data Using a New Supervised Neighbor-Band Ratio | unmixing | Approach |
| Examining the Deep Belief Network for Subpixel | unmixing | with Medium Spatial Resolution Multispectral Imagery in Urban Environments |
| Exploration of Planetary Hyperspectral Images with Unsupervised Spectral | unmixing | : A Case Study of Planet Mars |
| Fast and robust FMRI | unmixing | using hierarchical dictionary learning |
| Fast Approximate Spectral | unmixing | Algorithm Based on Segmentation, A |
| Fast determination of the number of endmembers for real-time hyperspectral | unmixing | on GPUs |
| Fast Hyperspectral | unmixing | via Reweighted Sparse Regression |
| Fast Multispectral Imaging by Spatial Pixel-Binning and Spectral | unmixing | |
| Fast Semi-Supervised | unmixing | of Hyperspectral Image by Mutual Coherence Reduction and Recursive PCA |
| Framelet-Based Sparse | unmixing | of Hyperspectral Images |
| Fully Constrained Least Squares Spectral | unmixing | by Simplex Projection |
| Fully Constrained Linear Spectral | unmixing | Algorithm Based on Distance Geometry, A |
| Fully Constrained Linear Spectral | unmixing | : Analytic Solution Using Fuzzy Sets |
| Fusion of Hyperspectral and Panchromatic Data By Spectral | unmixing | In The Reflective Domain |
| Fusion of Hyperspectral and Panchromatic Images Using Spectral | unmixing | Results |
| Futuristic Greedy Approach to Sparse | unmixing | of Hyperspectral Data |
| Gated Autoencoder Network for Spectral-Spatial Hyperspectral | unmixing | |
| Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral | unmixing | , A |
| Generalized Morphological Component Analysis for Hyperspectral | unmixing | |
| Geological Mapping By Combining Spectral | unmixing | And Cluster Analysis For Hyperspectral Data |
| Geometric | unmixing | of Large Hyperspectral Images: A Barycentric Coordinate Approach |
| Global centralised and structured discriminative non-negative matrix factorisation for hyperspectral | unmixing | |
| Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral | unmixing | , A |
| Graph-Based Blind Hyperspectral | unmixing | via Nonnegative Matrix Factorization |
| Green Vegetation Cover Dynamics in a Heterogeneous Grassland: Spectral | unmixing | of Landsat Time Series from 1999 to 2014 |
| Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral | unmixing | |
| Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral | unmixing | with Spectral Variability |
| Hierarchical Sparsity | unmixing | Method to Address Endmember Variability in Hyperspectral Image, A |
| How Hyperspectral Image | unmixing | and Denoising Can Boost Each Other |
| Hybrid Spectral | unmixing | : Using Artificial Neural Networks for Linear/Non-Linear Switching |
| Hybrid | unmixing | Based on Adaptive Region Segmentation for Hyperspectral Imagery |
| Hyperspectral and Multispectral Image Fusion Based on Local Low Rank and Coupled Spectral | unmixing | |
| Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral | unmixing | |
| Hyperspectral Anomaly Detection Through Spectral | unmixing | and Dictionary-Based Low-Rank Decomposition |
| Hyperspectral Classification Through | unmixing | Abundance Maps Addressing Spectral Variability |
| Hyperspectral image analysis with piece-wise convex endmember estimation and spectral | unmixing | |
| Hyperspectral Image Compression Optimized for Spectral | unmixing | |
| Hyperspectral Image Resolution Enhancement Approach Based on Local Adaptive Sparse | unmixing | and Subpixel Calibration |
| Hyperspectral Image Resolution Enhancement Based on Spectral | unmixing | and Information Fusion |
| Hyperspectral Image Resolution Enhancement Using High-Resolution Multispectral Image Based on Spectral | unmixing | |
| Hyperspectral image segmentation and | unmixing | using hidden Markov trees |
| Hyperspectral Image Segmentation Using a New Spectral | unmixing | -Based Binary Partition Tree Representation |
| Hyperspectral Image Super-Resolution Based on Spatial Correlation-Regularized | unmixing | Convolutional Neural Network |
| Hyperspectral image super-resolution combining with deep learning and spectral | unmixing | |
| Hyperspectral Image | unmixing | With Endmember Bundles and Group Sparsity Inducing Mixed Norms |
| Hyperspectral Image | unmixing | With LiDAR Data-Aided Spatial Regularization |
| Hyperspectral Nonlinear | unmixing | by Using Plug-and-Play Prior for Abundance Maps |
| Hyperspectral shape-based | unmixing | to improve intra- and interclass variability for forest and agro-ecosystem monitoring |
| Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind | unmixing | of the Unknown Super-resolution Image |
| Hyperspectral Super-Resolution by Coupled Spectral | unmixing | |
| Hyperspectral Super-Resolution with Spectral | unmixing | Constraints |
| Hyperspectral | unmixing | |
| Hyperspectral | unmixing | Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization |
| Hyperspectral | unmixing | Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis |
| Hyperspectral | unmixing | Based on Incremental Kernel Nonnegative Matrix Factorization |
| Hyperspectral | unmixing | based on L1-L2 sparsity and total variation |
| Hyperspectral | unmixing | Based on Mixtures of Dirichlet Components |
| Hyperspectral | unmixing | in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects |
| Hyperspectral | unmixing | Network Accounting for Spectral Variability Based on a Modified Scaled and a Perturbed Linear Mixing Model |
| Hyperspectral | unmixing | using an active set algorithm |
| Hyperspectral | unmixing | Using Orthogonal Sparse Prior-Based Autoencoder With Hyper-Laplacian Loss and Data-Driven Outlier Detection |
| Hyperspectral | unmixing | Using Robust Deep Nonnegative Matrix Factorization |
| Hyperspectral | unmixing | Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation |
| Hyperspectral | unmixing | via Double Abundance Characteristics Constraints Based NMF |
| Hyperspectral | unmixing | via Latent Multiheterogeneous Subspace |
| Hyperspectral | unmixing | via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning |
| Hyperspectral | unmixing | via L_1/2 Sparsity-Constrained Nonnegative Matrix Factorization |
| Hyperspectral | unmixing | via Noise-Free Model |
| Hyperspectral | unmixing | Via Plug-And-Play Priors |
| Hyperspectral | unmixing | via Total Variation Regularized Nonnegative Tensor Factorization |
| Hyperspectral | unmixing | with Bandwise Generalized Bilinear Model |
| Hyperspectral | unmixing | With Endmember Variability via Alternating Angle Minimization |
| Hyperspectral | unmixing | with Gaussian Mixture Model and Low-Rank Representation |
| Hyperspectral | unmixing | with Gaussian Mixture Model and Spatial Group Sparsity |
| Hyperspectral | unmixing | With L_q Regularization |
| Hyperspectral | unmixing | with material variability using social sparsity |
| Hyperspectral | unmixing | with Robust Collaborative Sparse Regression |
| Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral | unmixing | : The No-Pure-Pixel Case |
| Identification of Paddy Varieties from Landsat 8 Satellite Image Data Using Spectral | unmixing | Method in Indramayu Regency, Indonesia |
| Illumination Invariant Hyperspectral Image | unmixing | Based on a Digital Surface Model |
| Illumination invariant | unmixing | of sets of mixed pixels |
| Image fusion using spatial | unmixing | |
| Impact of Vector Ordering Strategies on Morphological | unmixing | of Remotely Sensed Hyperspectral Images |
| Implementation Strategies for Hyperspectral | unmixing | Using Bayesian Source Separation |
| Improved Spatial and Temporal Reflectance | unmixing | Model to Synthesize Time Series of Landsat-Like Images, An |
| Improved Spatial-Spectral Superpixel Hyperspectral | unmixing | |
| Improved Stone's Complexity Pursuit for Hyperspectral Imagery | unmixing | |
| improved temporal mixture analysis | unmixing | method for estimating impervious surface area based on MODIS and DMSP-OLS data, An |
| Improved | unmixing | -Based Fusion Method: Potential Application to Remote Monitoring of Inland Waters, An |
| Improving Autoencoder Training Performance for Hyperspectral | unmixing | with Network Reinitialisation |
| Improving Land Use/Land Cover Classification by Integrating Pixel | unmixing | and Decision Tree Methods |
| Improving Linear Spectral | unmixing | Through Local Endmember Detection |
| Improving Reliability in Nonlinear Hyperspectral | unmixing | by Multidimensional Structural Optimization |
| Improving Single Shot Object Detection With Feature Scale | unmixing | |
| Improving the estimation of fractional vegetation cover from UAV RGB imagery by colour | unmixing | |
| Incorporating Endmember Variability into Linear | unmixing | of Coarse Resolution Imagery: Mapping Large-Scale Impervious Surface Abundance Using a Hierarchically Object-Based Spectral Mixture Analysis |
| Incorporating Spatial Information and Endmember Variability Into | unmixing | Analyses to Improve Abundance Estimates |
| Incorporating Spectral | unmixing | in Satellite Imagery Semantic Segmentation |
| Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral | unmixing | Analysis |
| Independent Component Analysis for Blind | unmixing | of Hyperspectral Imagery With Additional Constraints |
| Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: A Hyperspectral | unmixing | Method Dealing with Intra-Class Variability |
| Integrated Change Detection Method Based on Spectral | unmixing | and the CNN for Hyperspectral Imagery, An |
| Integration of Hyperspectral Image Classification and | unmixing | for Active Learning |
| Integration of Physics-Based and Data-Driven Models for Hyperspectral Image | unmixing | : A summary of current methods |
| Intercomparison and Validation of Techniques for Spectral | unmixing | of Hyperspectral Images: A Planetary Case Study |
| Is Spectral | unmixing | Model or Nonlinear Statistical Model More Suitable for Shrub Coverage Estimation in Shrub-Encroached Grasslands Based on Earth Observation Data? A Case Study in Xilingol Grassland, China |
| Iterative Spectral | unmixing | for Optimizing Per-Pixel Endmember Sets |
| Joint Anomaly Detection and Spectral | unmixing | for Planetary Hyperspectral Images |
| Joint Hyperspectral Superresolution and | unmixing | With Interactive Feedback |
| Joint hyperspectral | unmixing | for urban computing |
| Joint Local Abundance Sparse | unmixing | for Hyperspectral Images |
| Joint Local Block Grouping with Noise-Adjusted Principal Component Analysis for Hyperspectral Remote-Sensing Imagery Sparse | unmixing | |
| Joint-Sparse-Blocks and Low-Rank Representation for Hyperspectral | unmixing | |
| Kernel-Based Nonlinear Spectral | unmixing | with Dictionary Pruning |
| Kronecker least angle regression for unsupervised | unmixing | of hyperspectral imaging data |
| l0-based sparse hyperspectral | unmixing | using spectral information and a multi-objectives formulation |
| Learning a low-coherence dictionary to address spectral variability for hyperspectral | unmixing | |
| Least Angle Regression-Based Constrained Sparse | unmixing | of Hyperspectral Remote Sensing Imagery |
| Linear Mixture Models, Full and Partial | unmixing | in Multi- and Hyperspectral Image Data |
| Linear | unmixing | in BRDF Reproduction and 3D Shape Recovery |
| Local Spectral Similarity Preserving Regularized Robust Sparse Hyperspectral | unmixing | |
| Local spectral | unmixing | for target detection |
| Low-Rank Tensor Modeling for Hyperspectral | unmixing | Accounting for Spectral Variability |
| L_0-Norm Sparse Hyperspectral | unmixing | Using Arctan Smoothing |
| L_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Manifold Regularized Sparse NMF for Hyperspectral | unmixing | |
| Mapping Fractional Vegetation Coverage across Wetland Classes of Sub-Arctic Peatlands Using Combined Partial Least Squares Regression and Multiple Endmember Spectral | unmixing | |
| Mapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember | unmixing | |
| Mapping Mangrove Zonation Changes in Senegal with Landsat Imagery Using an OBIA Approach Combined with Linear Spectral | unmixing | |
| Mapping the Mangrove Forest Canopy Using Spectral | unmixing | of Very High Spatial Resolution Satellite Images |
| Matrix Cofactorization for Joint Spatial-Spectral | unmixing | of Hyperspectral Images |
| Matrix-Vector Nonnegative Tensor Factorization for Blind | unmixing | of Hyperspectral Imagery |
| Maximum Entropy Model Of The Bearded Capuchin Monkey Habitat Incorporating Topography And Spectral | unmixing | Analysis, A |
| Maximum Likelihood Estimation Based Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Merging the Minnaert-k Parameter With Spectral | unmixing | to Map Forest Heterogeneity With CHRIS/PROBA Data |
| Microwave | unmixing | With Video Segmentation for Inferring Broadleaf and Needleleaf Brightness Temperatures and Abundances From Mixed Forest Observations |
| Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral | unmixing | |
| Mixed Pixels, | unmixing | |
| Modeling and Unsupervised | unmixing | Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects |
| Modelling Spectral | unmixing | of Geological Mixtures: An Experimental Study Using Rock Samples |
| Montmorillonite Estimation in Clay-Quartz-Calcite Samples from Laboratory SWIR Imaging Spectroscopy: A Comparative Study of Spectral Preprocessings and | unmixing | Methods |
| MRF Based Spatial Complexity for Hyperspectral Imagery | unmixing | |
| Multi-Attention Autoencoder for Hyperspectral | unmixing | Based on the Extended Linear Mixing Model, A |
| Multi-objective based spectral | unmixing | for hyperspectral images |
| Multi-Resolution Study of Thermal | unmixing | Techniques over Madrid Urban Area: Case Study of TRISHNA Mission |
| Multiband Image Fusion Based on Spectral | unmixing | |
| Multilayer manifold and sparsity constrained nonnegative matrix factorization for hyperspectral | unmixing | |
| Multilinear Mixing Model for Nonlinear Spectral | unmixing | , A |
| Multiple Aerosol | unmixing | by the Split Bregman Algorithm |
| Multiple Endmember | unmixing | of CHRIS/Proba Imagery for Mapping Impervious Surfaces in Urban and Suburban Environments |
| Multiple Regression Analysis for | unmixing | of Surface Temperature Data in an Urban Environment |
| Multiplexed fluorescence | unmixing | |
| Multiscale Hierarchical Model for Sparse Hyperspectral | unmixing | , A |
| Multiscale Multispectral Optoacoustic Tomography by a Stationary Wavelet Transform Prior to | unmixing | |
| Multisensor Coupled Spectral | unmixing | for Time-Series Analysis |
| Multitemporal Hyperspectral Images Change Detection Based on Joint | unmixing | and Information Coguidance Strategy |
| Multitemporal | unmixing | of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping |
| MUSIC-CSR: Hyperspectral | unmixing | via Multiple Signal Classification and Collaborative Sparse Regression |
| New Endmember Preprocessing Method for the Hyperspectral | unmixing | of Imagery Containing Marine Oil Spills, A |
| New Fast Algorithm for Linearly | unmixing | Hyperspectral Images, A |
| new perspective on terahertz image reconstruction based on linear spectral | unmixing | , A |
| Night Thermal | unmixing | for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data |
| Non-dictionary Aided Sparse | unmixing | of Hyperspectral Images via Weighted Nonnegative Matrix Factorization |
| Non-linear | unmixing | of hyperspectral images using multiple-kernel self-organising maps |
| Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral | unmixing | |
| Nonlinear Hyperspectral | unmixing | Based on Geometric Characteristics of Bilinear Mixture Models |
| Nonlinear Hyperspectral | unmixing | With Graphical Models |
| Nonlinear Hyperspectral | unmixing | With Robust Nonnegative Matrix Factorization |
| Nonlinear | unmixing | of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization |
| Nonlinear | unmixing | of Hyperspectral Data With Vector-Valued Kernel Functions |
| Nonlinear | unmixing | of Hyperspectral Images Using a Generalized Bilinear Model |
| Nonlinear | unmixing | of Hyperspectral Images: Models and Algorithms |
| Nonlinear | unmixing | via Deep Autoencoder Networks for Generalized Bilinear Model |
| Nonlocal Tensor-Based Sparse Hyperspectral | unmixing | |
| Nonnegative Matrix Factorization With Data-Guided Constraints For Hyperspectral | unmixing | |
| Nonnegative matrix factorization with deterministic annealing for unsupervised | unmixing | of hyperspectral imagery |
| Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral | unmixing | |
| Nonnegative-Matrix-Factorization-Based Hyperspectral | unmixing | With Partially Known Endmembers |
| Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral | unmixing | and Pansharpening |
| Novel Approach for Spectral | unmixing | , Classification, and Concentration Estimation of Chemical and Biological Agents, A |
| Novel Change Detection Approach Based on Spectral | unmixing | from Stacked Multitemporal Remote Sensing Images with a Variability of Endmembers, A |
| Novel Negative Abundance-Oriented Hyperspectral | unmixing | Algorithm, A |
| Novel Spectral Library Pruning Technique for Spectral | unmixing | of Urban Land Cover, A |
| Novel Spectral | unmixing | Method Incorporating Spectral Variability Within Endmember Classes, A |
| Novel | unmixing | -Based Hypersharpening Method via Convolutional Neural Network, A |
| On Diverse Noises in Hyperspectral | unmixing | |
| On Spectral | unmixing | Resolution Using Extended Support Vector Machines |
| Online | unmixing | of Multitemporal Hyperspectral Images Accounting for Spectral Variability |
| Optimization of minimum volume constrained hyperspectral image | unmixing | on CPU-GPU heterogeneous platform |
| Pan-sharpening Approaches Based On | unmixing | Of Multispectral Remote Sensing Imagery |
| Parallel | unmixing | -Based Content Retrieval System for Distributed Hyperspectral Imagery Repository on Cloud Computing Platforms, A |
| Parameterized Nonlinear Least Squares for Unsupervised Nonlinear Spectral | unmixing | |
| Partial Linear NMF-Based | unmixing | Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data |
| Partially Asynchronous Distributed | unmixing | of Hyperspectral Images |
| Phase | unmixing | of TerraSAR-X staring spotlight interferograms in building scale for PS height and deformation |
| Phenology and Spectral | unmixing | -Based Invasive Kudzu Mapping: A Case Study in Knox County, Tennessee |
| physics-based | unmixing | method for thermal hyperspectral images, A |
| Physics-Based | unmixing | Method to Estimate Subpixel Temperatures on Mixed Pixels, A |
| Piecewise Convex Multiple-Model Endmember Detection and Spectral | unmixing | |
| Pixel | unmixing | in Hyperspectral Data by Means of Neural Networks |
| Pixel- | unmixing | Moderate-Resolution Remote Sensing Imagery Using Pairwise Coupling Support Vector Machines: A Case Study |
| Plug-and-Play Priors Framework for Hyperspectral | unmixing | , A |
| Primal-dual interior-point optimization based on majorization-minimization for edge-preserving spectral | unmixing | |
| Probability-Based Spectral | unmixing | Analysis for Mapping Percentage Vegetation Cover of Arid and Semi-Arid Areas, A |
| Progressive Band Selection of Spectral | unmixing | for Hyperspectral Imagery |
| PSO-EM: A Hyperspectral | unmixing | Algorithm Based On Normal Compositional Model |
| Quantitative Analysis of Virtual Endmembers' Increased Impact on the Collinearity Effect in Spectral | unmixing | , A |
| RCMF: Robust Constrained Matrix Factorization for Hyperspectral | unmixing | |
| Real-time implementation of remotely sensed hyperspectral image | unmixing | on GPUs |
| Reconstruction of High-Temporal- and High-Spatial-Resolution Reflectance Datasets Using Difference Construction and Bayesian | unmixing | |
| Regularization Parameter Selection in Minimum Volume Hyperspectral | unmixing | |
| Regularized MSBL algorithm with spatial correlation for sparse hyperspectral | unmixing | |
| Regularized Simultaneous Forward-Backward Greedy Algorithm for Sparse | unmixing | of Hyperspectral Data |
| Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image | unmixing | |
| Repeated constrained sparse coding with partial dictionaries for hyperspectral | unmixing | |
| Residual Component Analysis of Hyperspectral Images: Application to Joint Nonlinear | unmixing | and Nonlinearity Detection |
| Restoration of Simulated EnMAP Data through Sparse Spectral | unmixing | |
| Reweighted Sparse Regression for Hyperspectral | unmixing | |
| Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Robust Context Dependent Spectral | unmixing | |
| Robust Dual Spatial Weighted Sparse | unmixing | for Remotely Sensed Hyperspectral Imagery |
| Robust Hyperspectral | unmixing | With Correntropy-Based Metric |
| Robust Hyperspectral | unmixing | with Practical Learning-Based Hyperspectral Image Denoising |
| Robust linear | unmixing | with enhanced constraint of classification for hyperspectral remote sensing imagery |
| Robust linear | unmixing | with enhanced sparsity |
| Robust Minimum Volume Simplex Analysis for Hyperspectral | unmixing | |
| Robust Multilinear Mixing Model with l2,1 norm for | unmixing | Hyperspectral Images, A |
| Robust pixel | unmixing | |
| Robust Sparse Hyperspectral | unmixing | With L_2,1 Norm |
| Robust Sparse | unmixing | for Hyperspectral Imagery |
| Robust Supervised Method for Nonlinear Spectral | unmixing | Accounting for Endmember Variability |
| Robust | unmixing | of Dynamic Sequences Using Regions of Interest |
| Robust | unmixing | of Large Sets of Mixed Pixels |
| Robustness Improvement of Hyperspectral Image | unmixing | by Spatial Second-Order Regularization |
| Rolling Guidance Based Scale-Aware Spatial Sparse | unmixing | for Hyperspectral Remote Sensing Imagery |
| Runtime-Scalable and Hardware-Accelerated Approach to On-Board Linear | unmixing | of Hyperspectral Images, A |
| Sampling Piecewise Convex | unmixing | and Endmember Extraction |
| Scattering Transform Framework for | unmixing | of Hyperspectral Data |
| Self-Paced Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Semiblind Hyperspectral | unmixing | in the Presence of Spectral Library Mismatches |
| Sentinel-2 Detection of Floating Marine Litter Targets with Partial Spectral | unmixing | and Spectral Comparison with Other Floating Materials (Plastic Litter Project 2021) |
| Sequential deconvolution: | unmixing | of blurred hyperspectral data |
| Shadow Detection and Restoration for Hyperspectral Images Based on Nonlinear Spectral | unmixing | |
| Signal Processing Perspective on Hyperspectral | unmixing | : Insights from Remote Sensing, A |
| Simultaneous linear separation and | unmixing | of fluorescent and reflective components from a single hyperspectral image |
| Simultaneously Multiobjective Sparse | unmixing | and Library Pruning for Hyperspectral Imagery |
| Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image | unmixing | |
| SISLU-Net: Spatial Information-Assisted Spectral Information Learning | unmixing | Network for Hyperspectral Images |
| Sketch-Based Region Adaptive Sparse | unmixing | Applied to Hyperspectral Image |
| Snow Depth Retrieval Based on a Multifrequency Dual-Polarized Passive Microwave | unmixing | Method From Mixed Forest Observations |
| Snow Property Inversion From Remote Sensing (SPIReS): A Generalized Multispectral | unmixing | Approach With Examples From MODIS and Landsat 8 OLI |
| Soil Biochar Quantification via Hyperspectral | unmixing | |
| Some | unmixing | Problems and Algorithms in Spectroscopy and Hyperspectral Imaging |
| Sparse Constrained Low Tensor Rank Representation Framework for Hyperspectral | unmixing | |
| Sparse Distributed Multitemporal Hyperspectral | unmixing | |
| Sparse Nonnegative Matrix Factorization for Hyperspectral | unmixing | Based on Endmember Independence and Spatial Weighted Abundance |
| Sparse Spectral | unmixing | of Hyperspectral Images using Expectation-Propagation |
| Sparse | unmixing | for Hyperspectral Image with Nonlocal Low-Rank Prior |
| Sparse | unmixing | of Hyperspectral Data |
| Sparse | unmixing | of hyperspectral data based on robust linear mixing model |
| Sparse | unmixing | of Hyperspectral Data Using Spectral A Priori Information |
| Sparse | unmixing | of Hyperspectral Data with Noise Level Estimation |
| Sparse | unmixing | via variable splitting and augmented Lagrangian for vegetation and urban area classification using Landsat data |
| Sparsity measure based library aided | unmixing | of hyperspectral image |
| sparsity-based Bayesian approach for hyperspectral | unmixing | using normal compositional model, A |
| Spatial Compositional Model for Linear | unmixing | and Endmember Uncertainty Estimation, A |
| Spatial Discontinuity-Weighted Sparse | unmixing | of Hyperspectral Images |
| Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Spatial Interpolation As A Tool For Spectral | unmixing | Of Remotely Sensed Images |
| Spatial Resolution Enhancement of Hyperspectral Images Using Spectral | unmixing | and Bayesian Sparse Representation |
| Spatial Validation of Spectral | unmixing | Results: A Case Study of Venice City |
| Spatial Validation of Spectral | unmixing | Results: A Systematic Review |
| Spatially Adaptive Hyperspectral | unmixing | |
| Spatially adaptive hyperspectral | unmixing | through endmembers analytical localization based on sums of anisotropic 2D Gaussians |
| Spatially Enhanced Spectral | unmixing | Through Data Fusion of Spectral and Visible Images from Different Sensors |
| Spectral and Spatial Complexity-Based Hyperspectral | unmixing | |
| Spectral Image Fusion From Compressive Measurements Using Spectral | unmixing | and a Sparse Representation of Abundance Maps |
| Spectral Image | unmixing | From Optimal Coded-Aperture Compressive Measurements |
| Spectral Mixture Analysis: Linear and Semi-parametric Full and Iterated Partial | unmixing | in Multi- and Hyperspectral Image Data |
| Spectral Mixture Model Inspired Network Architectures for Hyperspectral | unmixing | |
| Spectral | unmixing | Based Approach for Measuring Gas Flaring from VIIRS NTL Remote Sensing Data: Case of the Flare FIT-M8-101A-1U, Algeria |
| Spectral | unmixing | for Mapping a Hydrothermal Field in a Volcanic Environment Applied on ASTER, Landsat-8/OLI, and Sentinel-2 MSI Satellite Multispectral Data: The Nisyros (Greece) Case Study |
| Spectral | unmixing | for Thermal Infrared Multi-Spectral Airborne Imagery over Urban Environments: Day and Night Synergy |
| Spectral | unmixing | in Multiple-Kernel Hilbert Space for Hyperspectral Imagery |
| spectral | unmixing | method based on wavelet weighted similarity, A |
| Spectral | unmixing | Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery, A |
| Spectral | unmixing | Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain, A |
| Spectral | unmixing | Model for the Integration of Multi-Sensor Imagery: A Tool to Generate Consistent Time Series Data, A |
| Spectral | unmixing | Of Blended Reflectance For Denser Time-series Mapping Of Wetlands |
| Spectral | unmixing | of fluorescence fingerprint imagery for visualization of constituents in pie pastry |
| Spectral | unmixing | of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale |
| Spectral | unmixing | of Mixed Pixels for Texture Boundary Refinement |
| Spectral | unmixing | of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations |
| Spectral | unmixing | Using a Sparse Multiple-Endmember Spectral Mixture Model |
| Spectral | unmixing | via Compressive Sensing |
| Spectral | unmixing | via Data-Guided Sparsity |
| Spectral | unmixing | With Perturbed Endmembers |
| Spectral Variability Aware Blind Hyperspectral Image | unmixing | Based on Convex Geometry |
| Spectral-Spatial Joint Sparse NMF for Hyperspectral | unmixing | |
| Spectral-Spatial Robust Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Spectral-Spatial Weighted Sparse Regression for Hyperspectral Image | unmixing | |
| Spectral-Spatial-Weighted Multiview Collaborative Sparse | unmixing | for Hyperspectral Images |
| SSANet: An Adaptive Spectral-Spatial Attention Autoencoder Network for Hyperspectral | unmixing | |
| Stability Analysis of | unmixing | -Based Spatiotemporal Fusion Model: A Case of Land Surface Temperature Product Downscaling |
| Stain | unmixing | in brightfield multiplexed immunohistochemistry |
| Stepwise Analytical Projected Gradient Descent Search for Hyperspectral | unmixing | and Its Code Vectorization, A |
| Structured Discriminative Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Structured Sparse Method for Hyperspectral | unmixing | |
| Subpixel Melt Index in the Antarctic Peninsula Using Spatially Constrained Linear | unmixing | From Time Series Satellite Passive Microwave Images |
| Subspace Clustering Constrained Sparse NMF for Hyperspectral | unmixing | |
| Subspace Matching Pursuit for Sparse | unmixing | of Hyperspectral Data |
| Substance Dependence Constrained Sparse NMF for Hyperspectral | unmixing | |
| SUnGP: A Greedy Sparse Approximation Algorithm for Hyperspectral | unmixing | |
| Superpixel-Based Reweighted Low-Rank and Total Variation Sparse | unmixing | for Hyperspectral Remote Sensing Imagery |
| Supervised Hyperspectral Image Classification Combining Sparse | unmixing | and Spatial Constraint |
| Supervised Method for Nonlinear Hyperspectral | unmixing | , A |
| Supervised Nonlinear Spectral | unmixing | Using a Postnonlinear Mixing Model for Hyperspectral Imagery |
| Surface Oxide Detection and Characterization Using Sparse | unmixing | on Hyperspectral Images |
| SVM-Based | unmixing | -to-Classification Conversion for Hyperspectral Abundance Quantification |
| Thermal | unmixing | based downscaling for fine resolution diurnal land surface temperature analysis |
| Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral | unmixing | |
| Total Variation Spatial Regularization for Sparse Hyperspectral | unmixing | |
| Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral | unmixing | and Classification |
| Triangular Factorization-Based Simplex Algorithms for Hyperspectral | unmixing | |
| Two Linear | unmixing | Algorithms to Recognize Targets Using Supervised Classification and Orthogonal Rotation in Airborne Hyperspectral Images |
| Two-Phase Multiobjective Sparse | unmixing | Approach for Hyperspectral Data, A |
| uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral | unmixing | |
| Uncertainty Introduced by Darkening Agents in the Lunar Regolith: An | unmixing | Perspective |
| unmixing | approach for hyperspectral data resolution enhancement using high resolution multispectral image |
| unmixing | Component Analysis for Anomaly Detection in Hyperspectral Imagery |
| unmixing | Convolutional Features for Crisp Edge Detection |
| unmixing | Dynamic Fluorescence Diffuse Optical Tomography Images With Independent Component Analysis |
| unmixing | functional magnetic resonance imaging data using matrix factorization |
| unmixing | Guided Unsupervised Network for RGB Spectral Super-Resolution |
| unmixing | K-Gaussians With Application to Hyperspectral Imaging |
| unmixing | Molecular Agents From Absorbing Tissue in Multispectral Optoacoustic Tomography |
| unmixing | Polarimetric Radar Images Based on Land Cover Type Identified by Higher Resolution Optical Data Before Target Decomposition: Application to Forest and Bare Soil |
| unmixing | three types of lung sounds by convex optimization |
| unmixing | Tissues: Sparse Component Analysis in Multi-Contrast MRI |
| unmixing | -Based Bayesian Model for Spatio-Temporal Satellite Image Fusion in Heterogeneous Landscapes, An |
| unmixing | -based Denoising As A Pre-processing Step for Coral Reef Analysis |
| unmixing | -Based Multi-Attention GAN for Unsupervised Hyperspectral and Multispectral Image Fusion, An |
| unmixing | -Based Multisensor Multiresolution Image Fusion |
| unmixing | -based Sentinel-2 downscaling for urban land cover mapping |
| unmixing | -Guided Convolutional Transformer for Spectral Reconstruction |
| Unsupervised classification of hyperspectral images by using linear | unmixing | algorithm |
| Unsupervised Kernelized Correlation-Based Hyperspectral | unmixing | With Missing Pixels |
| Unsupervised Multitemporal Spectral | unmixing | for Detecting Multiple Changes in Hyperspectral Images |
| Unsupervised Nonlinear Hyperspectral | unmixing | Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization |
| Unsupervised Nonlinear Hyperspectral | unmixing | with Reduced Spectral Variability via Superpixel-Based Fisher Transformation |
| Unsupervised Nonlinear Spectral | unmixing | Based on a Multilinear Mixing Model |
| Unsupervised Post-Nonlinear | unmixing | of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm |
| Unsupervised | unmixing | of Hyperspectral Images Accounting for Endmember Variability |
| Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral | unmixing | of Satellite Observations |
| Using a Panchromatic Image to Improve Hyperspectral | unmixing | |
| Using Physically-Modeled Synthetic Data to Assess Hyperspectral | unmixing | Approaches |
| Validation of Abundance Map Reference Data for Spectral | unmixing | |
| Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral | unmixing | |
| ZY-1 02D Hyperspectral Imagery Super-Resolution via Endmember Matrix Constraint | unmixing | |
464 for unmixing