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Hyperspectral Image Denoising

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Showing 26–50 of 54 papers

TitleStatusHype
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising—0
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural NetworksCode0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization—0
Learning to adapt unknown noise for hyperspectral image denoising—0
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising—0
Deep Sparse and Low-Rank Prior for Hyperspectral Image DenoisingCode0
Graph Spatio-Spectral Total Variation Model for Hyperspectral Image Denoising—0
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising—0
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization—0
Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization—0
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising—0
Hyperspectral Image Denoising with Log-Based Robust PCA—0
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising—0
Hyperspectral Image Denoising Based On Multi-Stream Denoising Network—0
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse RepresentationsCode0
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm—0
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising—0
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising—0
Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization—0
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation—0
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix ApproximationCode0
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising—0
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