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Document type:
Konferenzbeitrag 
Author(s):
Yao, W.; Hinz, S.; Stilla, U. 
Title:
Object extraction based on 3D-segmentation of LiDAR data by combining mean shift with normalized cuts: Two examples from urban areas 
Abstract:
In this work, we have looked into the problem of urban analysis usingairborne LiDAR data based on the strategy of classification by segmentation.Segmentation is a key and hard step in the processing of 3D pointclouds, which is not perfectly solved in view of different applications.A new 3d segmentation method incorporating the advantages of nonparametricand spectral graph clustering is presented here to facilitate thetask of object extraction in urban areas. This integrated methodfeatures local...    »
 
Keywords:
Data mining, Laser radar, Urban areas, Clouds, Solid modeling, Remote sensing, Image segmentation, Topology, Object detection, Image reconstruction 
Book / Congress title:
Proc. Joint Urban Remote Sensing Event (JURSE) 
Year:
2009 
Pages:
1--6 
Fulltext / DOI: