A new classification method for LIDAR data based on unbalanced support vector machine

2011 International Symposium on Image and Data Fusion, ISIDF 2011

Volumn , Issue , 2011, Pages

  Wang, Xin ^a   Luo, Yi Ping ^b   Jiang, Ting ^a   Gong, Hui ^a   Luo, Sheng ^a   Zhang, Xiao Wei ^a  

^a INFORMATION ENGINEERING UNIVERSITY   (China)

^b NONE   (China)

Author keywords

Building Detection; Classification; Image Feature Introduction; LIDAR; Unbalanced Support Vector Machine

Indexed keywords

AERIAL IMAGES; AIRBORNE LASER SCANNING; BUILDING DETECTION; BUILDING FOOTPRINT; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLOUD DATA; DATA SETS; HEIGHT VARIATION; IMAGE FEATURES; IN-BUILDINGS; LASER POINT; LIDAR DATA; MULTISPECTRAL IMAGES; NORMAL VECTOR; PENALTY FACTOR; SPECTRUM INFORMATION; TRAINING SIZE; UNBALANCED SUPPORT;

BUILDINGS; CLASSIFICATION (OF INFORMATION); EDGE DETECTION; IMAGE FUSION; INFORMATION FUSION; OPTICAL RADAR; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 80054003619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIDF.2011.6024312     Document Type: Conference Paper

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