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Titel:

Automatic vehicle extraction from airborne LiDAR data of urban areas using morphological reconstruction

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Yao, W.; Hinz, S.; Stilla, U.
Abstract:
In this paper, we address issues in traffic monitoring of urban areasusing airborne LiDAR data. Our aim in this paper is to extract individualvehicles from common LiDAR data of urban areas, based on which thedynamical status of vehicles and other traffic-related parameterscan be derived. A context-guiding bottom-up processing strategy isdeveloped to accomplish the task. Ground level separation is firstused to exclude the irrelevant objects and provide the ldquoRegionof Interestrdquo. The marker-...     »
Kongress- / Buchtitel:
Proc. IAPR Workshop Pattern Recognition in Remote Sensing (PRRS 2008)
Jahr:
2008
Seiten:
1--4
Volltext / DOI:
doi:10.1109/PRRS.2008.4783167
WWW:
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4783167
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