Object extraction based on 3d-segmentation of LiDAR data by combining mean shift with normalized cuts: Two examples from urban areas

2009 Joint Urban Remote Sensing Event

Volumn , Issue , 2009, Pages

  Yao, Wei ^a   Hinz, Stefan ^a   Stilla, Uwe ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D POINT CLOUD; 3D SEGMENTATION; AIRBORNE LIDAR DATA; DENSE URBAN AREAS; EFFICIENCY AND RELIABILITY; INTEGRATED METHOD; LIDAR DATA; MEAN SHIFT; NON-PARAMETRIC; NORMALIZED CUTS; OBJECT EXTRACTION; SEMANTIC ENTITY; SPECTRAL GRAPH CLUSTERING; URBAN ANALYSIS; URBAN AREAS;

REMOTE SENSING;

OPTICAL RADAR;

EID: 70350165067     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/URS.2009.5137673     Document Type: Conference Paper

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