A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances

A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances

Cloud contamination is a critical source of errors in the data assimilation of hyperspectral infrared radiance (IR). Therefore, it is necessary to filter out cloudy observations. In this study, we review and summarize the principles and research progress of cloud detection methods for the hyperspect...

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Bibliographic Details
Main Authors: Zhuoya Ni, Mengdie Wu, Qifeng Lu, Hongyuan Huo, Chunqiang Wu, Ruixia Liu, Fu Wang, Xiaoying Xu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
hyperspectral infrared sounder
cloud detection
cloud-clearing
numerical weather prediction
deep learning
Online Access:https://www.mdpi.com/2072-4292/16/24/4629
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