Dr.-Ing. Ulrike Pestel-Schiller
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
phone: +49 511 762-19580
fax: +49 511 762-5333
office location: room 1314A

Ulrike Pestel-Schiller studied Electrical Engineering and Communications Engineering at the University of Hannover. She received Dipl.-Ing. and Dr.-Ing. from the University of Hannover in 1989 and 1997, respectively. From 1989 to 1996, she worked in the field of HDTV video coding as a full time Research Assistant at the Institut für Theoretische Nachrichtentechnik und Informationsverarbeitung. Since 1996 she has been working on image and video processing and coding at the Institut für Informationsverarbeitung at the Leibniz Universität Hannover.

Her current research interests are coding and evaluation of SAR image data and processing and coding of hyperspectral image data.
Please contact her for further information, e.g. batchelor or master theses in these fields.

Show selected publications only
  • Ulrike Pestel-Schiller, Ye Yang, Jörn Ostermann
    Semantic Segmentation of Natural and Man-Made Fruits Using a Spatial-Spectral Two-Channel-CNN for Sparse Data
    12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, Italy, September 2022
  • Ulrike Pestel-Schiller, Jörn Ostermann
    Impact of Spatial Resolution and Zoom on Interpreter-Based Evaluation of Compressed SAR Images
    14th European Conference on Synthetic Aperture Radar, Leipzig, July 2022
  • Fabian Hartmann, Aron Sommer, Ulrike Pestel-Schiller, Jörn Osterman
    A scheme for stabilizing the image generation for VideoSAR
    13th European Conference on Synthetic Aperture Radar, March 2021, edited by EUSAR 2021
  • Ulrike Pestel-Schiller, Jörn Ostermann
    Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability
    13th European Conference on Synthetic Aperture Radar, Online, March 2021
  • Ulrike Pestel-Schiller, Kai Hu, Daniel Gritzner, Jörn Ostermann,
    Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN
    11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15, Online, March 2021, edited by Institute of Electrical and Electronics Engineers (IEEE)
  • Ulrike Pestel-Schiller, Jörn Ostermann
    Subjective Evaluation of Compressed SAR Images: Sometimes, Compression Improves Usability
    EUMW 2018, Madrid, September 2018
  • Ulrike Pestel-Schiller, Jörn Ostermann
    Usability-Based SAR System Assessment: Framework and First Results
    12th European Conference on Synthetic Aperture Radar, Aachen, June 2018
  • Ulrike Pestel-Schiller, Karsten Vogt, Jörn Ostermann, Wolfgang Groß
    Impact of Hyperspectral Image Coding on Subpixel Detection
    Proceedings of 32nd Picture Coding Symposium, Nürnberg, December 2016
  • Ulrike Pestel-Schiller
    Coding of SAR Image Data for Data Compression
    10th European Conference on Synthetic Aperture Radar, Berlin, June 2014
  • Ulrike Pestel-Schiller
    Optimierung der Filterbank für eine Teilbandcodierung bezüglich Redundanz- und Irrelevanzreduktion
    Dissertation, Eigenverlag, February 1997
  • Ulrike Pestel
    Optimizing the Structure of Filter Banks for HDTV Subband Coding considering Redundancy and Irrelevance Reduction
    International Workshop on HDTV '93, Ottawa, October 1993
  • Ulrike Pestel
    Optimization of a Filter Bank for Subband Coding considering Statistical Redundancy and Visual Perception
    International Workshop on HDTV '92, Kawasaki, November 1992
  • Ulrike Pestel, Klaus Grüger
    Design of HDTV Subband Filterbanks considering VLSI Implementation Aspects
    IEEE Trans. on Circuits and Systems for Video Technology, Vol. 1, pp. 14-21, March 1991
  • Bernd Schmale, Ulrike Pestel
    HDTV Subband Coding with Adaptive Block Quantization
    4th International Workshop on HDTV and beyond, Torino, February 1991
  • Ulrike Pestel, Bernd Schmale
    Design of an HDTV Subband Codec considering CMOS-VLSI Constraints
    SPIE Proceedings of Visual Communication and Image Processing, pp. 587-595, Lausanne, October 1990