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Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks
IEEE Transactions on Geoscience and Remote Sensing
◽
10.1109/tgrs.2020.3008844
◽
2020
◽
pp. 1-14
Author(s):
Han V. Nguyen
◽
Magnus O. Ulfarsson
◽
Johannes R. Sveinsson
Keyword(s):
Neural Networks
◽
Image Denoising
◽
Convolutional Neural Networks
◽
Hyperspectral Image
Download Full-text
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10.1109/ijcnn48605.2020.9207509
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Sure Based Convolutional Neural Networks for Hyperspectral Image Denoising
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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10.1109/igarss39084.2020.9324734
◽
2020
◽
Author(s):
Han V. Nguyen
◽
Magnus O. Ulfarsson
◽
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Keyword(s):
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Hyperspectral Image Denoising via Nonnegative Matrix Factorization and Convolutional Neural Networks
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss.2018.8517388
◽
2018
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Cited By ~ 1
Author(s):
Baihong Lin
◽
Xiaoming Tao
◽
Xiaowei Qin
◽
Yiping Duan
◽
Jianhua Lu
Keyword(s):
Neural Networks
◽
Image Denoising
◽
Convolutional Neural Networks
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Matrix Factorization
◽
Nonnegative Matrix Factorization
◽
Hyperspectral Image
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Image Denoising using Attention-Residual Convolutional Neural Networks
2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
◽
10.1109/sibgrapi51738.2020.00022
◽
2020
◽
Author(s):
Rafael G. Pires
◽
Daniel F. S. Santos
◽
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◽
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Image Denoising
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Convolutional Neural Networks
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Residual Convolutional Neural Networks Model For Image Denoising On Real Time
2020 International Conference on Control, Automation and Diagnosis (ICCAD)
◽
10.1109/iccad49821.2020.9260531
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Author(s):
Rania KALLEL
◽
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Keyword(s):
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Image Denoising
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Hyperspectral image classification by optimizing convolutional neural networks based on information theory and 3D-Gabor filters
International Journal of Remote Sensing
◽
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◽
2021
◽
Vol 42
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◽
pp. 4380-4410
Author(s):
Mohammad Ghassemi
◽
Hassan Ghassemian
◽
Maryam Imani
Keyword(s):
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Information Theory
◽
Image Classification
◽
Convolutional Neural Networks
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Hyperspectral Image
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Gabor Filters
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Hyperspectral Image Classification
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Target Detection of Hyperspectral Image Based on Convolutional Neural Networks
2018 37th Chinese Control Conference (CCC)
◽
10.23919/chicc.2018.8483788
◽
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◽
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◽
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◽
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Deformable Convolutional Neural Networks for Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Letters
◽
10.1109/lgrs.2018.2830403
◽
2018
◽
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◽
pp. 1254-1258
◽
Cited By ~ 46
Author(s):
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◽
Leyuan Fang
◽
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◽
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◽
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Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks
Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN)
◽
10.1364/microscopy.2020.mw2a.3
◽
2020
◽
Cited By ~ 1
Author(s):
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◽
Yide Zhang
◽
Yinhao Zhu
◽
Scott Howard
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3D Convolutional Neural Networks with Image Fusion for Hyperspectral Image Classification
Advances in Intelligent Systems and Computing - The 10th International Conference on Computer Engineering and Networks
◽
10.1007/978-981-15-8462-6_47
◽
2020
◽
pp. 419-428
Author(s):
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◽
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◽
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◽
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Convolutional Neural Networks
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Hyperspectral Image
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Hyperspectral Image Classification
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