Evaluating existing manually constructed natural landscape classification with a machine learning-based approach
Some landscape classifications officially determine financial obligations; thus, they must be objective and precise. We presume it is possible to quantitatively evaluate existing manually constructed classifications and correct them if necessary. One option for achieving this goal is a machine learn...
Main Authors: | Rok Ciglič, Erik Štrumbelj, Rok Češnovar, Mauro Hrvatin, Drago Perko |
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Format: | Article |
Language: | English |
Published: |
University of Maine
2019-06-01
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Series: | Journal of Spatial Information Science |
Subjects: | |
Online Access: | http://josis.org/index.php/josis/article/view/464 |
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