Multilevel Ensembling For Local Climate Zones Classification
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)(2017)
摘要
This paper presents an end-to-end system for automatic local climate zones classification of various types of urban environment. For that we perform fusion of multispectral images from Landsat-8 and Sentinel-2 satellites with site description extracted from OpenStreetMap layers. The proposed classification approach is based on a multi-level ensemble scheme that combines Convolutional Neural Networks, Random Forests and Gradient Boosting Machines.
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关键词
Local climate zone (LCZ) classification, multispectral imaging (MSI), OpenStreetMap
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