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

  • Li, Qingyu; Shi, Yilei; Auer, Stefan; Roschlaub, Robert; Möst, Karin; Schmitt, Michael; Glock, Clemens; Zhu, Xiaoxiang: Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network. Remote Sensing 12 (21), 2020, 3537 more…
  • Wang, Zhuoru; Chan, Ka Lok; Heue, Klaus-Peter; Doicu, Adrian; Wagner, Thomas; Holla, Robert; Wiegner, Matthias: A multi-axis differential optical absorption spectroscopy aerosol profile retrieval algorithm for high-altitude measurements: application to measurements at Schneefernerhaus (UFS), Germany. Atmospheric Measurement Techniques 13 (4), 2020, 1835-1866 more…
  • Liu, Song; Valks, Pieter; Pinardi, Gaia; Xu, Jian; Argyrouli, Athina; Lutz, Ronny; Tilstra, L. Gijsbert; Huijnen, Vincent; Hendrick, François; Van Roozendael, Michel: An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2). Atmospheric Measurement Techniques 13 (2), 2020, 755-787 more…
  • Loyola, Diego G.; Xu, Jian; Heue, Klaus-Peter; Zimmer, Walter: Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements. Atmospheric Measurement Techniques 13 (2), 2020, 985-999 more…
  • Li, Q.; Shi, Y.; Auer, S.; Roschlaub, R.; Möst, K.; Schmitt, M.; Zhu, X. X.: DETECTION OF UNDOCUMENTED BUILDINGS USING CONVOLUTIONAL NEURAL NETWORK AND OFFICIAL GEODATA. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020, 2020, 517-524 more…