Attention-Based Deep Autoencoder for Hyperspectral Image Denoising
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-11349-9_14
Reference25 articles.
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3. Aetesam, H., Poonam, K., Maji, S.K.: Proximal approach to denoising hyperspectral images under mixed-noise model. IET Image Process. 14(14), 3366–3372 (2020)
4. Lecture Notes in Computer Science;B Arad,2016
5. Dey, B., et al.: SEM image denoising with unsupervised machine learning for better defect inspection and metrology. In: Adan, O., Robinson, J.C. (eds.) Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV. vol. 11611, pp. 245–254. International Society for Optics and Photonics, SPIE (2021). https://doi.org/10.1117/12.2584803
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1. Lp-norm-based successive denoising approach for hyperspectral images;Remote Sensing Letters;2023-04-03
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