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A model for suppressing stray light in astronomical images based on deep learning

A model for suppressing stray light in astronomical images based on deep learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_79644aa130b04001ac21d4bbcd7560fb

A model for suppressing stray light in astronomical images based on deep learning

About this item

Full title

A model for suppressing stray light in astronomical images based on deep learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-11, Vol.14 (1), p.27521-16, Article 27521

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Wide-Field Small Aperture Telescopes (WFSAT) are widely used for surveilling space objects. Due to their wide-field of view (FOV) characteristics, these telescopes can cover a large areas of the sky at once, improving observation efficiency. However, a wide-field optical telescope is highly sensitive to external stray light (such as moonlight and t...

Alternative Titles

Full title

A model for suppressing stray light in astronomical images based on deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_79644aa130b04001ac21d4bbcd7560fb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_79644aa130b04001ac21d4bbcd7560fb

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-78472-6

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