Auflistung nach Schlagwort "Conditional random field"

Auflistung nach Schlagwort "Conditional random field"

Sortiert nach: Sortierung: Ergebnisse:

  • Automatic classification of aerial imagery for urban hydrological applications 
    Paul, A.; Yang, C.; Breitkopf, U.; Liu, Y.; Wang, Z.; Rottensteiner, F.; Wallner, M.; Verworn, A.; Heipke, C. (Göttingen : Copernicus GmbH, 2018)
    In this paper we investigate the potential of automatic supervised classification for urban hydrological applications. In particular, we contribute to runoff simulations using hydrodynamic urban drainage models. In order ...
  • Characterizing large-scale weak interlayer shear zones using conditional random field theory 
    Han, Gang; Zhang, Chuanqing; Singh, Hemant Kumar; Liu, Rongfei; Chen, Guan; Huang, Shuling; Zhou, Hui; Zhang, Yuting (Wechselnde Erscheinungsorte : Elsevier, 2023)
    The shear behavior of large-scale weak intercalation shear zones (WISZs) often governs the stability of foundations, rock slopes, and underground structures. However, due to their wide distribution, undulating morphology, ...
  • Context models for crf-based classification of multitemporal remote sensing data 
    Hoberg, Thorsten; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    The increasing availability of multitemporal satellite remote sensing data offers new potential for land cover analysis. By combining data acquired at different epochs it is possible both to improve the classification ...
  • Contextual classification of point clouds using a two-stage CRF 
    Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 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: ...
  • Discrete optimization for optical flow 
    Menze, Moritz; Heipke, Christian; Geiger, Andreas (Heidelberg : Springer Verlag, 2015)
    We propose to look at large-displacement optical flow from a discrete point of view. Motivated by the observation that sub-pixel accuracy is easily obtained given pixel-accurate optical flow, we conjecture that computing ...
  • Hierarchical higher order crf for the classification of airborne lidar point clouds in urban areas 
    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 ...
  • Land Use Classification Using Conditional Random Fields for the Verification of Geospatial Databases 
    Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    Geospatial land use databases contain important information with high benefit for several users, especially when they provide a detailed description on parcel level. Due to many changes connected with a high effort of the ...
  • Multi-source hierarchical conditional random field model for feature fusion of remote sensing images and LiDAR data 
    Zhang, Z.; Yang, M.Y.; Zhoua, M. (Katlenburg-Lindau : Copernicus Publications, 2013)
    Feature fusion of remote sensing images and LiDAR points cloud data, which have strong complementarity, can effectively play the advantages of multi-class features to provide more reliable information support for the remote ...