Browsing by Subject "Transfer learning"

Sort by: Order: Results:

  • Paul, A.; Vogt, K.; Rottensteiner, F.; Ostermann, J.; Heipke, C. (London : International Society for Photogrammetry and Remote Sensing, 2018)
    In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge from a source domain, ...
  • Feng, Yu; Sester, Monika (Basel : MDPI AG, 2018)
    In recent years, pluvial floods caused by extreme rainfall events have occurred frequently. Especially in urban areas, they lead to serious damages and endanger the citizens' safety. Therefore, real-Time information about ...
  • Politz, F.; Sester, M. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    National mapping agencies (NMAs) have to acquire nation-wide Digital Terrain Models on a regular basis as part of their obligations to provide up-to-date data. Point clouds from Airborne Laser Scanning (ALS) are an important ...
  • Paul, Andreas; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2015)
    In this paper we address the problem of classification of remote sensing images in the framework of transfer learning with a focus on domain adaptation. The main novel contribution is a method for transductive transfer ...