Chair of Remote Sensing Technology

A cooperation with the German Aerospace Center

Information and knowledge from remote sensing data

  • Satellite- and Airplane-based Earth Observation
  • Synthetic Aperture Radar (SAR) and SAR Interferometry
  • High Resolution Optical Image Interpretation
  • Hyperspectral Earth Observation
  • Estimation Theory
  • Sparse Reconstruction and Compressive Sensing
  • 3D Reconstruction
  • 4D Motion Detection
  • Data Fusion
  • Computer Vision
  • Machine Learning
  • Deep Learning

Recent Publications

  • Koch, Tobias; Liebel, Lukas; Körner, Marco; Fraundorfer, Friedrich: Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset. Computer Vision and Image Understanding (CVIU) 191, 2020, 102877 more…
  • Liebel, Lukas; Bittner, Ksenia; Körner, Marco: A generalized multi-task learning approach to stereo DSM filtering in urban areas. ISPRS Journal of Photogrammetry and Remote Sensing 166, 2020, 213-227 more…
  • Qiu, Chunping; Liebel, Lukas; Hughes, Lloyd Haydn; Schmitt, Michael; Körner, Marco; Zhu, Xiao Xiang: Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification. IEEE Geoscience and Remote Sensing Letters, 2020, 1-5 more…
  • Aigner, Sandra; Körner, Marco: The Importance of Loss Functions for Increasing the Generalization Abilities of a Deep Learning-Based Next Frame Prediction Model for Traffic Scenes. Machine Learning and Knowledge Extraction 2 (2), 2020, 78-98 more…
  • Kraft, Basil; Jung, Martin; Körner, Marco; Reichstein, Markus: HYBRID MODELING: FUSION OF A DEEP LEARNING APPROACH AND A PHYSICS-BASED MODEL FOR GLOBAL HYDROLOGICAL MODELING. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020, 2020, 1537-1544 more…