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Titel:

A Cluster Graph Approach to Land Cover Classification Boosting

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Hughes, Lloyd H. ; Streicher , Simon ; Chuprikova , Ekaterina; Preez, Johan D.
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...     »
Zeitschriftentitel:
Data
Jahr:
2019
Band / Volume:
4
Heft / Issue:
1
Volltext / DOI:
doi:10.3390/data4010010
WWW:
https://www.mdpi.com/2306-5729/4/1/10
Verlag / Institution:
MDPI AG
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