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Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration...

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e6eefcabc7034f3bbfd1aec585ba935e

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

About this item

Full title

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2017-10, Vol.9 (10), p.1055

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Guangzhou has experienced a rapid urbanization since 1978 when China initiated the economic reform, resulting in significant land use/cover changes (LUC). To produce a time series of accurate LUC dataset that can be used to study urbanization and its impacts, Landsat imagery was used to map LUC changes in Guangzhou from 1987 to 2015 at a three-year...

Alternative Titles

Full title

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e6eefcabc7034f3bbfd1aec585ba935e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e6eefcabc7034f3bbfd1aec585ba935e

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs9101055

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