Browsing by Subject "Conditional Random Fields"

Browsing by Subject "Conditional Random Fields"

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  • Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due ...
  • Hoberg, Thorsten; Rottensteiner, Franz (Göttingen : Copernicus GmbH, 2010)
    Land cover classification plays a key role for various geo-based applications. Numerous approaches for the classification of settlements in remote sensing imagery have been developed. Most of them assume the features of ...
  • Niemeyer, Joachim; Mallet, C.; Rottensteiner, Franz; Sörgel, Uwe (Göttingen : Copernicus GmbH, 2011)
    In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds. Several object classes (i.e. ground, building and vegetation) can be separated reliably by ...
  • 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: ...
  • Schmidt, Alena; Rottensteiner, Franz; Sörgel, Uwe (Hannover : International Society for Photogrammetry and Remote Sensing, 2013)
    Coastal areas are characterized by high spatial and temporal variability. In order to detect undesired changes at early stages, enabling rapid countermeasures to mitigate or minimize potential harm or hazard, a recurrent ...
  • Kosov, Sergej; Rottensteiner, Franz; Heipke, Christian; Leitloff, Jens; Hinz, Stefan (Göttingen : Copernicus GmbH, 2013)
    The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Conditional Random Fields (CRF) approach to this problem, a probabilistic ...
  • Wegner, Jan Dirk; Ok, A.O.; Thiele, A.; Rottensteiner, Franz; Sörgel, Uwe (Göttingen : Copernicus GmbH, 2010)
    We investigate the potential of combined features of aerial images and high-resolution interferometric SAR (InSAR) data for building detection in urban areas. It is shown that completeness and correctness may be increased ...
  • Niemeyer, Joachim-Christoph (Hannover : Leibniz Universität Hannover, 2017)
    Auf Flugzeugen montierte Laserscanner können innerhalb kürzester Zeit große Gebiete der Erdoberfläche dreidimensional erfassen. Eine wichtige Aufgabe besteht in der Klassifikation der anfallenden Daten, welche als Punktwolken ...