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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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A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery
Multigraph-Based Low-Rank Tensor Approximation for Hyperspectral Image Restoration
Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification
Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection

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

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