SVM-based soft classification of urban tree species using very high-spatial resolution remote-sensing imagery

International Journal of Remote Sensing

Volumn 37, Issue 11, 2016, Pages 2541-2559

  Zhou, Jianhua ^a   Qin, Jun ^b   Gao, Kai ^c   Leng, Hanbing ^c  

^a East China Normal University   (China)

^b Shanghai Botanical Garden ^*  (China)

^c Shanghai Engineering Research Center of Sustainable Plant Innovation   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY SYSTEMS; IMAGE CLASSIFICATION; SPACE OPTICS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

BINARY SUPPORT VECTOR MACHINES; CLASSIFICATION ACCURACY; COMPARATIVE ASSESSMENT; CONVENTIONAL CLASSIFICATION METHODS; REMOTE SENSING DATA; REMOTE SENSING IMAGERY; SPECTRAL SEPARABILITY; VERY HIGH SPATIAL RESOLUTIONS;

REMOTE SENSING;

CLASSIFICATION; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SUPPORT VECTOR MACHINE; TREE; URBAN AREA;

EID: 84978419156     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1178867     Document Type: Article

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