Simulation of visible light at night from infrared measurements using deep learning technique

Author:

Yan Junjie1,Qu Jianhua1,An Hongda1,Zhang He1

Affiliation:

1. Beijing Huayun Shinetek Science and Technology Co. Ltd, Beijing, China

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Reference16 articles.

1. Creating synthetic night-time visible-light meteorological satellite images using the GAN method

2. Harder P, Jones W, Lguensat R, Bouabid S, Fulton J, Quesada-Chacón D, Marcolongo A, Stefanovi S, Rao Y, Manshausen P, Watson-Parris D. 2020. NightVision: generating nighttime satellite imagery from infra-Red observations. Paper presented at: Virtual-only Conference. Tackling Climate Change with Machine Learning workshop at NeurIPS 2020; Dec 8. https://arxiv.org/abs/2011.07017

3. Heidinger A, Straka WC. 2010. Algorithm theoretical basis document for ABI Cloud Mask. Maryland: NOAA NESDIS Center for Satellite Applications and Research; 1–86. https://www.star.nesdis.noaa.gov/star/contact.php

4. Nighttime Reflectance Generation in the Visible Band of Satellites

5. Technical note: A new day- and night-time Meteosat Second Generation Cirrus Detection Algorithm MeCiDA

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