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A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fece1b76ae3c44259e2e816e9218ff12

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications

About this item

Full title

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-09, Vol.12 (17), p.8654

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Machine learning algorithms are increasingly used in various remote sensing applications due to their ability to identify nonlinear correlations. Ensemble algorithms have been included in many practical applications to improve prediction accuracy. We provide an overview of three widely used ensemble techniques: bagging, boosting, and stacking. We f...

Alternative Titles

Full title

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fece1b76ae3c44259e2e816e9218ff12

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fece1b76ae3c44259e2e816e9218ff12

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app12178654

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