Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

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ID: 267052
2017
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Abstract
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have compared the performances of these classifier …
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p2017sensorscomparison Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Thanh Noi P;Kappas M;;
Journal sensors
Year 2017
DOI
DOI not found
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https://www.pubmed.gov/?cmd=Search&term=Phan%20Thanh%20Noi
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:29271909 pmc5796274 doi:10.3390/s18010018 phan thanh noi martin kappas

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