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Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral...

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68ac85ef7af649c982ab6ccd3d25fafe

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

About this item

Full title

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2024-06, Vol.18 (8), p.2053-2063

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

As one of the dimensionality reduction techniques of hyperspectral image (HSI), band selection (BS) does not change the spectral characteristics and physical meaning of HSIs, which is beneficial to the identification and analysis of surface objects. Recently, many BS methods for target detection have achieved promising results by making full use of...

Alternative Titles

Full title

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_68ac85ef7af649c982ab6ccd3d25fafe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68ac85ef7af649c982ab6ccd3d25fafe

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.13082

How to access this item