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Dataset . 2023
License: CC BY
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Dataset . 2023
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Dataset . 2023
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Synthetically generated clouds on ground-based solar observations

Research datakeyboard_double_arrow_right Dataset 28 Feb 2023Publisher:Zenodo
Authors: Morgan, Jay Paul; Paiement, Adeline; Aboudarham, Jean;

doi: 10.5281/zenodo.7885493 , 10.5281/zenodo.8010703 , 10.5281/zenodo.7684200 , 10.5281/zenodo.7885507 , 10.5281/zenodo.7684201

Synthetically generated clouds on ground-based solar observations

Abstract

A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal

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Keywords

Machine Learning, Data Processing, Computer Vision, Heliophysics, Solar Weather

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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