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Yokoyama, H.; Chikatsu, H. (2017)
Publisher: Copernicus Publications
Languages: English
Types: Article
Subjects: TA1-2040, T, TA1501-1820, Applied optics. Photonics, Engineering (General). Civil engineering (General), Technology
Recently, laser scanning has been receiving greater attention as a useful tool for real-time 3D data acquisition, and various applications such as city modelling, DTM generation and 3D modelling of cultural heritage sites have been proposed. And, former digital data processing were demanded in the past digital archive techniques for cultural heritage sites. However, robust filtering method for distinguishing on- and off-terrain points by terrestrial laser scanner still have many issues. In the past investigation, former digital data processing using air-bone laser scanner were reported. Though, efficient tree removal methods from terrain points for the cultural heritage are not considered. In this paper, authors describe a new robust filtering method for cultural heritage using terrestrial laser scanner with "the echo digital processing technology" as latest data processing techniques of terrestrial laser scanner.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Schilling A., Schmidt A., Maas H. G., 2012. Principal Curves for Tree Topology Retrieval from TLS Data. Proceedings of SilviLaser, Vancouver, Canada, pp.16-19.
    • 2. Lim H. E., Suter D., 2009. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ComputerAided Design, vol.41, pp.701-710.
    • 3. Pirotti F., Guarnieri A., Vettore A., 2013. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, vol.76, pp.56-63
    • 4. Yokoyama H., Chikatsu H., 2006. Automatic Breake-line Detection from Laser Scanner Data using Surface Flatness. International Archives of Photogrammetry and Remote Sensing, Dresden, Germany, Vol.XXXVI , Part5, pp.1251-1256
    • 5. Brodu N., Lague D., 2012. 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology. ISPRS Journal of Photogrammetry and Remote Sensing, vol.68, pp. 121-134
    • 6. Kim S., Hinckley T., Briggs D., 2011. Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data. Remote Sensing of Environment, Vol.115, Issue.12, pp.3329- 3342
    • 7. Sugiyama T., Abe K., 1995. Edge Height and reliability. Proc. ACCV'95, Singapore, Vol.II, pp.410-414.
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