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Titel:

Automatic vehicle extraction from airborne LiDAR data of urban areas aided by geodesic morphology

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yao, W.; Hinz, S.; Stilla, U.
Abstract:
In this study, we address one of the key issues in traffic monitoring of urban areas using airborne laser scanning (ALS) data – vehicle extraction. Our aim is to automatically segment point sets of single vehicles solely relying on the geometric components of ALS data. To tackle the complexity of vehicle appearance in ALS data, a context-guided approach based on geometric model of vehicle is proposed to accomplish the task. Ground level separation is firstly used to exclude the irrelevant object...     »
Stichworte:
Airborne LiDAR Urban areas Vehicle extraction Context Geodesic morphology
Zeitschriftentitel:
Pattern Recognition Letters
Jahr:
2010
Seitenangaben Beitrag:
1100--1108
Volltext / DOI:
doi:10.1016/j.patrec.2010.02.006
WWW:
http://www.sciencedirect.com/science/article/pii/S0167865510000632?via=ihub
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