Research on infrared hyperspectral remote sensing cloud detection method based on deep learning-Reference-Cited by-同舟云学术

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Research on infrared hyperspectral remote sensing cloud detection method based on deep learning

Published:2023-06-27 Issue: Volume: Page:1-21
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ni Zhuoya¹,Wu Mengdie²,Lu Qifeng¹,Huo Hongyuan³,Wang Fu¹^ORCID

Affiliation:

1. CMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing, China

2. School of Earth Science and Resources, China University of Geosciences, Beijing, China

3. The Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, China

Funder

Fengyun Application Pioneering Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2221806

Reference40 articles.

1. Use of cloud-cleared radiances in three/four-dimensional variational data assimilation

2. A daytime cloud detection algorithm for FY-3A/VIRR data

3. Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks

4. Bias and data assimilation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel cloud detection method based on segmentation prior and multiple features for Sentinel-2 images;International Journal of Remote Sensing;2023-08-18

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