Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms
Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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This research was aimed at developing the mapping model of benthic habitat mapping using machine-learning classification algorithms and tested the applicability of the model in different areas. We integrated in situ benthic habitat data and image processing of WorldView-2 (WV2) image to parameterise the machine-learning algorithm, namely: Random Fo...
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Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms
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TN_cdi_doaj_primary_oai_doaj_org_article_9bf96ad960d84a0a9c33a64b1b2dbba3
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9bf96ad960d84a0a9c33a64b1b2dbba3
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs11111279
