Print Email Facebook Twitter Quality assessment and comparison of smartphone, airborne and leica c10 laser scanner based point clouds Title Quality assessment and comparison of smartphone, airborne and leica c10 laser scanner based point clouds Author Sirmacek, B. (TU Delft Optical and Laser Remote Sensing) Lindenbergh, R.C. (TU Delft Optical and Laser Remote Sensing) Wang, J. (TU Delft Optical and Laser Remote Sensing) Date 2016 Abstract 3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data source. However, close-range sensors (such as terrestrial laser scanners) and low cost cameras (which can generate point clouds based on photogrammetry) can provide denser sampling of 3D surface geometry. Unfortunately, terrestrial laser scanning sensors are expensive and trained persons are needed to use them for point cloud acquisition. A potential effective 3D modelling can be generated based on a low cost smartphone sensor. Herein, we show examples of using smartphone camera images to generate 3D models of urban structures. We compare a smartphone based 3D model of an example structure with a terrestrial laser scanning point cloud of the structure. This comparison gives us opportunity to discuss the differences in terms of geometrical correctness, as well as the advantages, disadvantages and limitations in data acquisition and processing. We also discuss how smartphone based point clouds can help to solve further problems with 3D urban model generation in a practical way. We show that terrestrial laser scanning point clouds which do not have color information can be colored using smartphones. The experiments, discussions and scientific findings might be insightful for the future studies in fast, easy and low-cost 3D urban model generation field. Subject 3D City ModelsPoint CloudsTerrestrial Laser Scanning (TLS)Structure from Motion (SfM)Multi-view PhotogrammetryLow-cost sensors To reference this document use: http://resolver.tudelft.nl/uuid:47c7a171-92af-4b55-8d7e-7b0a476ce88e DOI https://doi.org/10.5194/isprs-archives-XLI-B5-581-2016 ISSN 1682-1750 Source International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI (B5), 581-586 Part of collection Institutional Repository Document type journal article Rights © 2016 B. Sirmacek, R.C. Lindenbergh, J. Wang Files PDF isprs_archives_XLI_B5_581_2016.pdf 6.57 MB Close viewer /islandora/object/uuid:47c7a171-92af-4b55-8d7e-7b0a476ce88e/datastream/OBJ/view