Mapping urban functional zones by integrating very high spatial resolution remote sensing imagery and points of interest: A case study of Xiamen, China

Remote Sensing

Volumn 10, Issue 11, 2018, Pages

  Song, Jinchao ^a,b   Lin, Tao ^a   Li, Xinhu ^a   Prishchepov, Alexander V ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Functional zone; GF 2 remote sensing imagery; Land use classification; POIs

Indexed keywords

IMAGE ENHANCEMENT; IMAGE RESOLUTION; LAND USE; MAPPING; URBAN TRANSPORTATION;

FUNCTIONAL ZONES; HIGH SPATIAL RESOLUTION; HIGH SPATIAL RESOLUTION IMAGERY; LANDUSE CLASSIFICATIONS; POIS; REMOTE SENSING IMAGERY; REMOTE SENSING IMAGES; VERY HIGH SPATIAL RESOLUTIONS;

REMOTE SENSING;

EID: 85057112559     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10111737     Document Type: Article

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