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 Technique
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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...
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Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique
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TN_cdi_doaj_primary_oai_doaj_org_article_e6eefcabc7034f3bbfd1aec585ba935e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e6eefcabc7034f3bbfd1aec585ba935e
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs9101055