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Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target de...

Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target de...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eae390faad9b469f811118753b24f91f

Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection

About this item

Full title

Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.1340-16, Article 1340

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Detecting small targets in UAV remote sensing images is challenging for traditional lightweight methods due to difficulty in feature extraction and high background interference. We propose LPS-YOLO, which improves small target feature extraction while reducing computational complexity by replacing the Conv backbone with SPDConv to retain fine-grain...

Alternative Titles

Full title

Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_eae390faad9b469f811118753b24f91f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eae390faad9b469f811118753b24f91f

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-85488-z

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