A Unified Cloud Detection Method for Suomi-NPP VIIRS Day and Night PAN Imagery-Reference-Cited by-同舟云学术

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A Unified Cloud Detection Method for Suomi-NPP VIIRS Day and Night PAN Imagery

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Jun¹^ORCID,Hu Chengjie¹,Sheng Qinghong¹^ORCID,Wang Bo¹^ORCID,Ling Xiao¹^ORCID,Gao Fan²,Xu Yunfei³,Li Zhiwei⁴^ORCID,Molinier Matthieu⁵^ORCID

Affiliation:

1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Institute of Communication Engineering, Army Engineering University of PLA, Nanjing, China

3. Beijing Institute of Control Engineering, Beijing, China

4. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong

5. VTT Technical Research Centre of Finland Ltd., Espoo, Finland

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

National Key Laboratory of Science and Technology on Space Microwave

Space Optoelectronic Measurement and Perception Laboratory of BICE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10595417.pdf?arnumber=10595417

Reference54 articles.

1. Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data

2. Contributions from experimental geostatistical analyses for solving the cloud-cover problem in remote sensing data

3. Object-based cloud and cloud shadow detection in Landsat imagery

4. Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

5. A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images

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