Map updating and change detection using vehicle-based laser scanning

The vehicle-based laser scanning (VLS, also known as mobile mapping) is a new technology, which is currently under development for creating 3D models of the surrounding environment. VLS is based on the integration of GPS, IMU, laser scanner and preferably digital cameras mounted on top of a moving p...

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Bibliographic Details
Published in:2009 Joint Urban Remote Sensing Event pp. 1 - 6
Main Authors: Hyyppa, J., Jaakkola, A., Hyyppa, H., Kaartinen, H., Kukko, A., Holopainen, M., Lingli Zhu, Vastaranta, M., Kaasalainen, S., Krooks, A., Litkey, P., Lyytikainen-Saarenmaa, P., Matikainen, L., Ronnholm, P., Ruizhi Chen, Yuwei Chen, Kivilahti, A., Kosonen, I.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2009
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Summary:The vehicle-based laser scanning (VLS, also known as mobile mapping) is a new technology, which is currently under development for creating 3D models of the surrounding environment. VLS is based on the integration of GPS, IMU, laser scanner and preferably digital cameras mounted on top of a moving platform, i.e. a car in most applications. VLS is a logical development after the first operative Airborne Laser Scanner (ALS) in 1994 and Terrestrial Laser Scanners mounted on top of a tripod. The data/image processing of VLS are mainly based on modifications of the methods created for ALS and TLS taking into account the differences of VLS compared to ALS and TLS. Compared to ALS, the geometry of VLS scanning is different and the pulse density varies as function of range. Two main differences between stationary TLS and constantly moving VLS are the evenness of the data and the perspective. In VLS, the point cloud is evenly distributed along the driving direction, and the viewing direction to the target remains constant. In the stop-and-go mode, the data characteristics of the VLS and conventional TLS are similar. A reasonable amount of research has been done to develop methods for single-time VLS processing, but there have not been any attempts to our knowledge of multitemporal processing of VLS data. In this paper, the high potential of change detection based on multitemporal VLS point clouds was demonstrated. Example cases include the change detection of city models and defoliation of city trees. A method to map biomass and biomass change of (city) trees was developed.
ISBN:9781424434602
1424434602
ISSN:2334-0932
2642-9535
DOI:10.1109/URS.2009.5137682