Browsing by Subject "Point cloud"

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  • Hofmann, Sabine; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    Mobile mapping data is widely used in various applications, what makes it especially important for data users to get a statistically verified quality statement on the geometric accuracy of the acquired point clouds or its ...
  • Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2015)
    In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A two-stage CRF is set up: ...
  • Chauhan, I.; Brenner, Claus (Göttingen : Copernicus GmbH, 2018)
    3D LiDAR point cloud obtained from the laser scanner is too dense and contains millions of points with information. For such huge volume of data to be sorted, identified, validated and be used for prediction, data mining ...
  • Feng, Yu; Brenner, Claus; Sester, Monika (Göttingen : Copernicus GmbH, 2018)
    Digital Terrain Models (DTMs) are essential surveying products for terrain based analyses, especially for overland flow modelling. Nowadays, many high resolution DTM products are generated by Airborne Laser Scanning (ALS). ...
  • Politz, F.; Sester, M. (London : International Society for Photogrammetry and Remote Sensing, 2018)
    Over the past years, the algorithms for dense image matching (DIM) to obtain point clouds from aerial images improved significantly. Consequently, DIM point clouds are now a good alternative to the established Airborne ...
  • Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    We propose a novel hierarchical approach for the classification of airborne 3D lidar points. Spatial and semantic context is incorporated via a two-layer Conditional Random Field (CRF). The first layer operates on a point ...
  • Hartmann, J.; Trusheim, P.; Alkhatib, H.; Paffenholz, Jens-André; Diener, D.; Neumann, Ingo (Göttingen : Copernicus GmbH, 2018)
    In recent years, the requirements in the industrial production, e.g., ships or planes, have been increased. In addition to high accuracy requirements with a standard deviation of 1 mm, an efficient 3D object capturing is ...
  • Politz, F.; Sester, M. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    National mapping agencies (NMAs) have to acquire nation-wide Digital Terrain Models on a regular basis as part of their obligations to provide up-to-date data. Point clouds from Airborne Laser Scanning (ALS) are an important ...
  • Eggert, D.; Sester, Monika (Göttingen : Copernicus GmbH, 2013)
    Application various different visualization schemes are conceivable. This paper presents a multi-layer based visualization method, enabling fast data browsing of mobile mapping data. In contrast to systems like Google ...
  • Eggert, D.; Dalyot, S. (London : International Society for Photogrammetry and Remote Sensing, 2012)
    Matching and fusion of 3D point clouds, such as close range laser scans, is important for creating an integrated 3D model data infrastructure. The Iterative Closest Point algorithm for alignment of point clouds is one of ...
  • Hofmann, Sabine; Eggert, Daniel; Brenner, Claus (Göttingen : Copernicus GmbH, 2014)
    Mobile Mapping is widely used for collecting large amounts of geo-referenced data. An important role plays sensor fusion, in order to evaluate multiple sensors such as laser scanner and cameras jointly. This requires to ...
  • Yang, Hao; Xu, Xiangyang; Neumann, Ingo (Basel : MDPI AG, 2014)
    Terrestrial laser scanning technology (TLS) is a new technique for quickly getting three-dimensional information. In this paper we research the health assessment of concrete structures with a Finite Element Method (FEM) ...
  • Xu, Xiangyang; Bureick, Johannes; Yang, Hao; Neumann, Ingo (Amsterdam : Elsevier, 2017)
    This paper focuses on the adjustment of B-spline approximation to terrestrial laser scanning (TLS) data and its contribution to deformation analysis of composite arched structures. The deformation of an arch structure under ...
  • Eggert, Daniel; Schulze, E.C. (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    Visualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data ...