A novel method for urban area extraction from VIIRS DNB and MODIS NDVI data: a case study of Chinese cities

International Journal of Remote Sensing

Volumn 38, Issue 21, 2017, Pages 6094-6109

  Zhang, Qiao ^a,b   Wang, Ping ^a,b   Chen, Hui ^a,b   Huang, Qinglun ^a,b   Jiang, Hongbing ^a,b   Zhang, Zijian ^c   Zhang, Yanmei ^a,b   Luo, Xiang ^a,b   Sun, Shujuan ^a,b  

^a Sichuan Remote Sensing Geomatics Institute   (China)

^b The Third Remote Sensing Geoinformatics Institute of National Administration of Surveying   (China)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; FORESTRY; IMAGE ENHANCEMENT; PARTICLE SWARM OPTIMIZATION (PSO); RADIOMETERS; REMOTE SENSING; SUPPORT VECTOR MACHINES;

CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; CLASSIFICATION TECHNOLOGY; EXTRACT INFORMATIONS; LANDSAT ENHANCED THEMATIC MAPPER (ETM+); NIGHT TIME LIGHTS; NORMALIZED DIFFERENTIAL VEGETATION INDICES; REMOTE SENSING DATA;

DATA MINING;

ALGORITHM; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; MODIS; NDVI; REMOTE SENSING; SUPPORT VECTOR MACHINE; URBAN AREA; VIIRS;

CHINA;

EID: 85020746757     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2017.1339927     Document Type: Article

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