A study of a Gaussian mixture model for urban land-cover mapping based on VHR remote sensing imagery

International Journal of Remote Sensing

Volumn 37, Issue 1, 2016, Pages 1-13

  Tao, Jianbin ^a   Shu, Ning ^b   Wang, Yu ^a   Hu, Qingwu ^b   Zhang, Yanbing ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

^b WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; IMAGE ENHANCEMENT; PHOTOMAPPING; SPACE OPTICS; SUPPORT VECTOR MACHINES;

CONVENTIONAL METHODS; DIFFERENT RESOLUTIONS; GAUSSIAN MIXTURE MODEL; REMOTE SENSING IMAGERY; REMOTE SENSING IMAGES; SUPPORT VECTOR MACHINE (SVMS); URBAN LAND COVER MAPPINGS; VERY HIGH RESOLUTION;

REMOTE SENSING;

GAUSSIAN METHOD; IMAGE RESOLUTION; LAND COVER; MAPPING; MODELING; REMOTE SENSING; URBAN AREA;

EID: 84953340965     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/2150704X.2015.1101502     Document Type: Article

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