A two-phase classification of urban vegetation using airborne LiDAR data and aerial photography

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 10, 2014, Pages 4153-4166

  Tong, Xiaohua ^a   Li, Xiaoichun ^b   Xu, Xiong ^a   Xie, Huan ^a   Feng, Tiantian ^a   Sun, Tong ^c   Jin, Yanmin ^a   Liu, Xiangfeng ^a  

^a TONGJI UNIVERSITY   (China)

^b Leica Geosystems AG   (Switzerland)

^c UNIVERSITY AT BUFFALO   (United States)

Author keywords

Aerial photography; Data fusion; Land cover classification; LiDAR; Urban vegetation

Indexed keywords

AERIAL PHOTOGRAPHY; DATA FUSION; FORESTRY; OPTICAL RADAR; PHOTOGRAPHIC EQUIPMENT; PHOTOGRAPHY; REMOTE SENSING; VEGETATION;

CLASSIFICATION METHODS; CLASSIFICATION RESULTS; LAND COVER CLASSIFICATION; LIGHT DETECTION AND RANGING; REMOTE SENSING IMAGERY; REMOTELY SENSED IMAGERY; URBAN VEGETATION; VEGETATION COMPONENTS;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPHY; LAND COVER; LAND USE CHANGE; LIDAR; REMOTE SENSING; SATELLITE DATA; URBAN DEVELOPMENT; URBAN PLANNING;

AIR CRAFT; DATA PROCESSING; PHOTOGRAPHY; PLANTS;

EID: 84920188862     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2312717     Document Type: Article

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