Assesing the spatial transferability of Random Forest models trained on the basis of the WSF3D dataset for cities
| العنوان: | Assesing the spatial transferability of Random Forest models trained on the basis of the WSF3D dataset for cities |
|---|---|
| المؤلفون: | Gnana Prakash, Amita |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | World Settlement Footprint 3D Land Use Land Cover Land Use Mapping Remote Sensing Machine Learning Spatial Transferability Random Forest Spatial metrics Structural similarity, Class separability, Similarity Measures, Urban Settlements |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=od______1640::eac176493a93999f6228123ba36c12fc https://elib.dlr.de/186401/ |
| Rights: | OPEN |
| رقم الانضمام: | edsair.od......1640..eac176493a93999f6228123ba36c12fc |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |