A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method

Author:

Xu Yongyang,Zhou Bo,Jin Shuai,Xie Xuejing,Chen Zhanlong,Hu Sheng,He Nan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference42 articles.

1. POI mining for land use classification: A case study;Andrade;ISPRS International Journal of Geo-Information,2020

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3. Using multi-source geospatial big data to identify the structure of polycentric cities;Cai;Remote Sensing of Environment,2017

4. Convolutional neural networks on graphs with fast localized spectral filtering;Defferrard,2016

5. Classification of building function using available sources of VGI;Fonte,2018

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