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Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images

ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), v.157, 2019년, pp.155 - 170  

Yoo, Cheolhee (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST)) ,  Han, Daehyeon (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST)) ,  Im, Jungho (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST)) ,  Bechtel, Benjamin (Department of Geography, Ruhr-University Bochum)

Abstract AI-Helper 아이콘AI-Helper

Abstract The Local Climate Zone (LCZ) scheme is a classification system providing a standardization framework to present the characteristics of urban forms and functions, especially for urban heat island (UHI) research. Landsat-based 100 m resolution LCZ maps have been classified by the World Urban...

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