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Automatic Detection and Identification of Underdense Meteors Based on YOLOv8n-BP Model

Automatic Detection and Identification of Underdense Meteors Based on YOLOv8n-BP Model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a00253a26b084fffa5350cfd39ab2735

Automatic Detection and Identification of Underdense Meteors Based on YOLOv8n-BP Model

About this item

Full title

Automatic Detection and Identification of Underdense Meteors Based on YOLOv8n-BP Model

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (8), p.1375

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Every day, millions of meteoroids enter the atmosphere and ablate, forming a long plasma trail. It is a strongly scattering object for electromagnetic waves and can be effectively detected by meteor radar at altitudes between 70 km and 140 km. Its echo typically has Fresnel oscillation characteristics. Most of the traditional detection methods rely...

Alternative Titles

Full title

Automatic Detection and Identification of Underdense Meteors Based on YOLOv8n-BP Model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a00253a26b084fffa5350cfd39ab2735

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a00253a26b084fffa5350cfd39ab2735

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs17081375

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