Unsupervised Denoising with Implicit Noise Mapping for Single Martian Multispectral Image
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876
2. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641948.pdf?arnumber=10641948
Reference9 articles.
1. Spatial-Spectral Transformer for Hyperspectral Image Denoising
2. Deep Learning for Unsupervised Denoising of Radar Sounder Data
3. Hyperspectral Image Restoration with Self-supervised Learning: A Two-stage Training Approach
4. Hierarchical Superpixel Relation Graph Combined with Convolutional Sparse Coding for Self-Supervised Hyperspectral Image Denoising
5. Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
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