Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems

Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems

The availability of aerial and satellite imageries has greatly reduced the costs and time associated with gully mapping, especially in remote locations. Regardless, accurate identification of gullies from satellite images remains an open issue despite the amount of literature addressing this problem...

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Bibliographic Details
Main Authors: Kwanele Phinzi, Dávid Abriha, Szilárd Szabó
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
satellite imagery
gully mapping
machine learning
random forest
support vector machines
South Africa
Online Access:https://www.mdpi.com/2072-4292/13/15/2980

Internet

https://www.mdpi.com/2072-4292/13/15/2980

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