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Document type:
Zeitschriftenaufsatz 
Author(s):
L. H. Hughes; S. Streicher; E. Chuprikova; J. Du Preez 
Title:
A Cluster Graph Approach to Land Cover Classification Boosting 
Abstract:
When it comes to land cover classification, the process of deriving the land classes is complex due to possible errors in algorithms, spatio-temporal heterogeneity of the Earth observation data, variation in availability and quality of reference data, or a combination of these. This article proposes a probabilistic graphical model approach, in the form of a cluster graph, to boost geospatial classifications and produce a more accurate and robust classification and uncertainty product. Cluster gr...    »
 
Journal title:
Data 
Year:
2019 
Journal volume:
Journal issue:
Publisher:
MDPI AG