Hyperspectral

CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

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

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

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

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

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

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders