No-reference hyperspectral image quality assessment via ranking feature learning

No-reference hyperspectral image quality assessment via ranking feature learning

In hyperspectral image (HSI) reconstruction tasks, due to the lack of ground truth in real imaging processes, models are usually trained and validated on simulation datasets and then tested on real measurements captured by real HSI imaging systems. However, due to the gap between the simulation imag...

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Bibliographic Details
Main Authors: Li, Yuyan, Dong, Yubo, Li, Haoyong, Liu, Danhua, Xue, Fang, Gao, Dahua
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Hyperspectral
Image assessment
Online Access:https://hdl.handle.net/10356/179758

Internet

https://hdl.handle.net/10356/179758

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