Thorough statistical comparison of machine learning regression models and their ensembles for sub-pixel imperviousness and imperviousness change mapping
We evaluated the performance of nine machine learning regression algorithms and their ensembles for sub-pixel estimation of impervious areas coverages from Landsat imagery. The accuracy of imperviousness mapping in individual time points was assessed based on RMSE, MAE and R2. These measures were al...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2017-12-01
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| Series: | Geodesy and Cartography |
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| Online Access: | http://www.degruyter.com/view/j/geocart.2017.66.issue-2/geocart-2017-0012/geocart-2017-0012.xml?format=INT |