Browsing by Subject "Pattern recognition"

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  • Automatic refinement of training data for classification of satellite imagery 
    Büschenfeld, Torsten; Ostermann, Jörn (Göttingen : Copernicus GmbH, 2012)
    In this paper, we present a method for automatic refinement of training data. Many classifiers from machine learning used in applications in the remote sensing domain, rely on previously labelled training data. This labelling ...
  • Boosted unsupervised multi-source selection for domain adaptation 
    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 ...
  • 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 ...
  • 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 ...
  • An efficient method to detect mutual overlap of a large set of unordered images for structure-from-motion 
    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 ...
  • A physics-based statistical model for human gait analysis 
    Zell, Petrissa; Rosenhahn, Bodo (Cham : Springer Verlag, 2015)
    Physics-based modeling is a powerful tool for human gait analysis and synthesis. Unfortunately, its application suffers from high computational cost regarding the solution of optimization problems and uncertainty in the ...
  • Rapidmap - Rapid mapping and information dissemination for disasters using remote sensing and geoinformation 
    Baltsavias, E.; Cho, K.; Remondino, F.; Sörgel, Uwe; Wakabayashi, H. (Göttingen : Copernicus GmbH, 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 ...
  • Using Semantic Distance to Support Geometric Harmonisation of Cadastral and Topographical Data 
    Schulze, Malte Jan; Thiemann, Frank; 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 ...