Browsing Fakultät für Bauingenieurwesen und Geodäsie by Subject "Pattern recognition"

Browsing Fakultät für Bauingenieurwesen und Geodäsie by Subject "Pattern recognition"

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  • Wang, X.; Zhan, Z.Q.; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Recently, low-cost 3D reconstruction based on images has become a popular focus of photogrammetry and computer vision research. Methods which can handle an arbitrary geometric setup of a large number of unordered and ...
  • Vogt, Karsten; Paul, A.; Ostermann, Jörn; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Supervised machine learning needs high quality, densely sampled and labelled training data. Transfer learning (TL) techniques have been devised to reduce this dependency by adapting classifiers trained on different, but ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Schulze, Malte Jan; Thiemann, F.; Sester, Monika (Göttingen : Copernicus GmbH, 2014)
    In the context of geo-data infrastructures users may want to combine data from different sources and expect consistent data. If both datasets are maintained separately, different capturing methods and intervals leads to ...

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