Decision Tree Algorithms for Developing Rulesets for Object-Based Land Cover Classification

Decision Tree Algorithms for Developing Rulesets for Object-Based Land Cover Classification

Decision tree (DT) algorithms are important non-parametric tools used for land cover classification. While different DTs have been applied to Landsat land cover classification, their individual classification accuracies and performance have not been compared, especially on their effectiveness to pro...

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Bibliographic Details
Main Authors: Darius Phiri, Matamyo Simwanda, Vincent Nyirenda, Yuji Murayama, Manjula Ranagalage
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
land use
remote sensing
spectral mixture analysis
change detection
optical images
Africa
Online Access:https://www.mdpi.com/2220-9964/9/5/329

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