SENSING URBAN LAND-USE PATTERNS BY INTEGRATING GOOGLE TENSORFLOW AND SCENE-CLASSIFICATION MODELS
Y. Yao,H. Liang,X. Li,J. Zhang,and J. He
Y. Yao
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, School of Geography and Planning, Guangzhou, Guangdong province, China
H. Liang
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, School of Geography and Planning, Guangzhou, Guangdong province, China
X. Li
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, School of Geography and Planning, Guangzhou, Guangdong province, China
J. Zhang
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, School of Geography and Planning, Guangzhou, Guangdong province, China
J. He
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, School of Geography and Planning, Guangzhou, Guangdong province, China
Viewed
Total article views: 1,125 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
540
546
39
1,125
33
39
HTML: 540
PDF: 546
XML: 39
Total: 1,125
BibTeX: 33
EndNote: 39
Views and downloads (calculated since 13 Sep 2017)
Cumulative views and downloads
(calculated since 13 Sep 2017)
Viewed (geographical distribution)
Total article views: 1,063 (including HTML, PDF, and XML)
Thereof 1,056 with geography defined
and 7 with unknown origin.