The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 779–783, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-779-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 779–783, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-779-2016

  16 Jun 2016

16 Jun 2016

AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE

Fabiane Bordin1, Luiz Gonzaga Jr1,2, Fabricio Galhardo Muller1, Mauricio Roberto Veronez1,3, and Marco Scaioni4 Fabiane Bordin et al.
  • 1Advanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, Brazil
  • 2Graduate Program in Applied Computing (PIPCA), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, Brazil
  • 3Graduate Program in Geology (PPGEO), University of Vale doRio dos Sinos (UNISINOS) S˜ao Leopoldo, Brazil
  • 4Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano Milano, Italy

Keywords: Laser Scanning, LiDAR, Remote Sensing, Point Cloud, Return Intensity, Edge Effect, Quadtree, Clustering

Abstract. Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.