Hyperspectral

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

CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

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

Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data

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

Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)

Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks

l₀-l₁ Hybrid Total Variation Regularization and Its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification

Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery

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

Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning

Tensor Low-Rank Constraint and l0 Total Variation for Hyperspectral Image Mixed Noise Removal

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders