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One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_57acd7541f604001a2328ff62aa14054

One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

About this item

Full title

One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (10), p.1892

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Advances in remote sensing (RS) technology in recent years have increased the interest in including RS data into one-class classifiers (OCCs). However, this integration is complex given the interdisciplinary issues involved. In this context, this review highlights the advances and current challenges in integrating RS data into OCCs to map vegetatio...

Alternative Titles

Full title

One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_57acd7541f604001a2328ff62aa14054

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_57acd7541f604001a2328ff62aa14054

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs13101892

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