Auflistung nach Schlagwort "Classification"

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  • Kosov, Sergej; Rottensteiner, Franz; Heipke, Christian; Leitloff, Jens; Hinz, Stefan (Göttingen : Copernicus GmbH, 2012)
    The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a probabilistic model ...
  • Klinger, Tobias; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    Many tracking systems rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations are imprecise the generated trajectory is prone to be updated ...
  • Werkmeister, Astrid; Lockhoff, M.; Schrempf, Michael; Tohsing, Korntip; Liley, B.; Seckmeyer, Gunther (Göttingen : Copernicus, 2015-05-06)
    In this case study we compare cloud fractional cover measured by radiometers on polar satellites (AVHRR) and on one geostationary satellite (SEVIRI) to ground-based manual (SYNOP) and automated observations by a ...
  • 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 ...
  • Weinmann, M.; Schmidt, Alena; Mallet, C.; Hinz, Stefan; Rottensteiner, Franz; Jutzi, B. (Göttingen : Copernicus GmbH, 2015)
    The fully automated analysis of 3D point clouds is of great importance in photogrammetry, remote sensing and computer vision. For reliably extracting objects such as buildings, road inventory or vegetation, many approaches ...
  • 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: ...
  • 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 ...
  • Hofmann, Martin; Riechelmann, Stefan; Crisosto, Christian; Mubarak, Riyad; Seckmeyer, Gunther (New York : Hindawi Publishing Corporation, 2014-11-26)
    High resolution global irradiance time series are needed for accurate simulations of photovoltaic (PV) systems, since the typical volatile PV power output induced by fast irradiance changes cannot be simulated properly ...
  • Bargiel, Damian; Herrmann, Sylvia; Lohmann, P.; Sörgel, Uwe (Göttingen : Copernicus GmbH, 2010)
    Ecosystems provide several services for human well-being. The quality of these ecosystem services is among others affected by agriculture, the main land user in Europe. Thus, it is essential to provide information about ...
  • 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 ...
  • Zhang, Z.; Yang, M.Y.; Zhou, M. (Göttingen : Copernicus GmbH, 2015)
    Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition. In this paper, we propose a novel multi-source multi-scale ...
  • Zhang, Lijuan; Dalyot, Sagi; Eggert, Daniel; Sester, Monika (Göttingen : Copernicus GmbH, 2011)
    This paper presents a multi-stage approach toward the robust classification of travel-modes from GPS traces. Due to the fact that GPS traces are often composed of more than one travel-mode, they are segmented to find ...
  • Ziems, Marcel; Beyen, J.; Müller, Sönke; Roovers, S.; Heipke, Christian (Göttingen : Copernicus GmbH, 2011)
    This paper describes a semi-automatic system for road update based on high resolution orthophotos and 3D surface models. Potential update regions are identified by an object-wise verification of all existing database ...
  • Ziems, M.; Fujimura, H.; Heipke, Christian; Rottensteiner, Franz (London : International Society for Photogrammetry and Remote Sensing, 2010)
    This paper describes a semi-automatic system for road verification from high resolution orthophotos in an urban context. The system combines several road detection and road verification approaches from current literature ...
  • Hoberg, Thorsten; Müller, Sören (Göttingen : Copernicus GmbH, 2011)
    The task of crop type classification with multitemporal imagery is nowadays often done applying classifiers that are originally developed for single images like support vector machines (SVM). These approaches do not model ...
  • Helmholz, Petra; Büschenfeld, Torsten; Breitkopf, Uwe; Müller, Sören; Rottensteiner, Franz (Göttingen : Copernicus GmbH, 2012)
    As a consequence of the wide-spread application of digital geo-data in geographic information systems (GIS), quality control has become increasingly important to enhance the usefulness of the data. For economic reasons a ...
  • Recio, J. A.; Helmholz, Petra; Müller, S. (Göttingen : Copernicus GmbH, 2011)
    In many publications the performance of different classification algorithms regarding to agricultural classes is evaluated. In contrast, this paper focuses on the potential of different imagery for the classification of ...
  • Becker, Christian; Breitkopf, Uwe; Büschenfeld, Torsten; Busch, A.; Grünreich, D.; Heipke, Christian; Helmholz, Petra; Müller, S.; Ostermann, Jörn; Pahl, M.; Vogt, Karsten; Ziems, M. (London : International Society for Photogrammetry and Remote Sensing, 2010)
    The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via ...
  • 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 ...
  • Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners. As dynamic objects, like ...