Construction of hyperspectral images from RGB images via CNN
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19289-3.pdf
Reference24 articles.
1. Jaiswal G, Sharma A, Yadav S (2021) Critical insights into modern hyperspectral image applications through deep learning. Wiley Interdiscip Rev Data Min Knowl Discov 11(6):e1426
2. Gowen AA, O’Donnell CP, Cullen PJ, Downey G, Frias JM (2007) Hyperspectral imaging-an emerging process analytical tool for food quality and safety control. Trends Food Sci Technol 18(12):590–598
3. Jaiswal G, Ri Rani, Mangotra H, Sharma A (2023) Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges. Comput Sci Rev 50:100584
4. Shippert P (2003) Introduction to hyperspectral image analysis. Online J Space Commun 2(3):8
5. Yuen PWT, Richardson M (2010) An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition. Imaging Sci J 58(5):241–253
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