The Influence of Region of Interest Heterogeneity on Classification Accuracy in Wetland Systems

The Influence of Region of Interest Heterogeneity on Classification Accuracy in Wetland Systems

Classifying and mapping natural systems such as wetlands using remote sensing frequently relies on data derived from regions of interest (ROIs), often acquired during field campaigns. ROIs tend to be heterogeneous in complex systems with a variety of land cover classes. However, traditional supervis...

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Bibliographic Details
Main Authors: Tedros M. Berhane, Hugo Costa, Charles R. Lane, Oleg A. Anenkhonov, Victor V. Chepinoga, Bradley C. Autrey
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
general linear model (GLM)
gerrymandering
Lake Baikal
methods
multinomial linear model (MLM)
mixed pixels
random forest (RF)
Selenga river delta
support vector machine (SVM)
Worldview-2
Online Access:http://www.mdpi.com/2072-4292/11/5/551

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