Browsing by Subject "Feature extraction"

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  • Chai, Dengfeng; Schmidt, Alena; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    This paper proposes a novel approach for linear feature detection. The contribution is twofold: a novel model for spatial point processes and a new method for linear feature detection. It describes a linear feature as a ...
  • Barsi, Arpad; Heipke, Christian; Willrich, Felicitas (London : International Society for Photogrammetry and Remote Sensing, 2002)
    The paper presents a road junction operator, which was developed for medium resolution black-and-white orthoimages. The operator uses a feed-forward neural network applied for a running window to decide whether it contains ...
  • Ehlers, Simon F. G.; Stuede, Marvin; Nuelle, Kathrin; Ortmaier, Tobias (Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc., 2020)
    This work presents a semantic map management approach for various environments by triggering multiple maps with different simultaneous localization and mapping (SLAM) configurations. A modular map structure allows to add, ...
  • Baltsavias, E.; Cho, K.; Remondino, F.; Sörgel, Uwe; Wakabayashi, H. (Hannover : International Society for Photogrammetry and Remote Sensing, 2013)
    This paper will present the project RAPIDMAP. The project is part of CONCERT-Japan, an ERA-NET initiative funded through the FP7 INCO project frame for enhancing research cooperation between European countries and Japan ...
  • Denkena, Berend; Bergmann, Benjamin; Stiehl, Tobias H. (Amsterdam : Elsevier B.V., 2020)
    The performance of a process monitoring system is determined by the information available to it. Existing methods for selecting relevant process information (features) work offline with data of faulty processes that is ...