Spectral Unmixing

A New Fast Algorithm for Linearly Unmixing Hyperspectral Images

A Novel Negative Abundance‐Oriented Hyperspectral Unmixing Algorithm

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization

Futuristic greedy approach to sparse unmixing of hyperspectral data

SUnGP: A greedy sparse approximation algorithm for hyperspectral unmixing

CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders

Empirical Automatic Estimation of the Number of Endmembers in Hyperspectral Images

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing

Hyperspectral endmember extraction using convex geometry

Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation

Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing

Multimodal Hyperspectral Unmixing: Insights from Attention Networks

Multimodal Hyperspectral Unmixing: Insights From Attention Networks

RCMF: Robust Constrained Matrix Factorization for Hyperspectral Unmixing

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing

Spectral Variability and Extended Linear Mixing Model