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

Titel:: Object extraction based on 3d-segmentation of LiDAR data by combining mean shift with normalized cuts: two examples from urban areas
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Yao, W.; Hinz, S.; Stilla, U.
Kongress- / Buchtitel:: Proceedings of 2009 Urban Remote Sensing Joint event (URBAN2009 - URS2009)
Jahr:: 2009
Reviewed:: ja
Sprache:: en
Format:: Text
BibTeX