Analysis and 3D visualization modelling of airborne laser scanning data

Qi Liu; Lu-qiang Wang

doi:10.1117/12.902755

22 August 2011 Analysis and 3D visualization modelling of airborne laser scanning data

Qi Liu, Lu-qiang Wang

Proceedings Volume 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging; 81924J (2011) https://doi.org/10.1117/12.902755
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

Airborne laser scanning (ALS) is an active remote sensing technique that can provide 3D information about the scene. Over the last few years, ALS has proved its capability of rapid acquisition of accurate topographic data. With the advantages of high accuracy, ALS data has become an accepted data source for highly automated acquisition of digital surface models (DSM) as well as for the generation of digital elevation models (DEM) which have been used in many applications such as civic planning, military navigation and natural hazard risk assessment. To utilize the 3D data provided by the ALS systems however, efficient methods for data processing and model construction needs to be developed. In this paper some recent technique on analysis and visualization modelling of ALS data will be presented. After the brief presentation of the ALS system, the computation of ALS data is introduced. The data processing chain for producing DSM is outlined. A data filtering method is proposed for generating DEM. A 3D visualization modelling study on ground scene is carried out and the framework of establishing visualization of DSM and DEM using ALS data is brought as well.

Citation Download Citation

Qi Liu and Lu-qiang Wang "Analysis and 3D visualization modelling of airborne laser scanning data", Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81924J (22 August 2011); https://doi.org/10.1117/12.902755

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