Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects

Yi Lin; Geoff West

doi:10.1117/12.2068287

17 November 2014 Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects

Yi Lin, Geoff West

Proceedings Volume 9262, Lidar Remote Sensing for Environmental Monitoring XIV; 92620Q (2014) https://doi.org/10.1117/12.2068287
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

The state-of-the-art remote sensing technologies, namely Unmanned Aerial Vehicle (UAV) based oblique imaging and Mobile Laser Scanning (MLS) show great potential for spatial information acquisition. This study investigated the combination of the two data sources for 4D modelling of roadside pole-like objects. The data for the analysis were collected by the Microdrone md4-200 UAV imaging system and the Sensei MLS system developed by the Finnish Geodetic Institute. Pole extraction, 3D structural parameter derivation and texture segmentation were deployed on the oblique images and point clouds, and their results were fused to yield the 4D models for one example of pole-like objects, namely lighting poles. The combination techniques proved promising.

Citation Download Citation

Yi Lin and Geoff West "Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects", Proc. SPIE 9262, Lidar Remote Sensing for Environmental Monitoring XIV, 92620Q (17 November 2014); https://doi.org/10.1117/12.2068287

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