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A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

December 17, 2021

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot and Julien Mairal

NeurIPS 2021

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Hyperspectral Imagery Classification via Random Multi-Graphs Ensemble Learning
SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification
Spectralformer: Rethinking hyperspectral image classification with transformers
NonRegSRNet: a Non-rigid Registration Hyperspectral Super-Resolution Network
Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution
Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

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