Prof. Dr. Richard Hans Georg Bamler
Academic Career and Research Areas
Professor Bamler (b. 1955) and his research team work in close collaboration with the DLR Remote Sensing Technology Institute to develop methods, algorithms and operational processing systems for extracting geoinformation from remote sensing data. His research focuses on synthetic aperture radar (SAR) and on analyzing high-resolution image sequences. This work also involves developing methods for utilizing data from German earth observation satellites such as TerraSAR-X and TanDEM-X.
Professor Bamler studied telecommunication engineering at TUM, where he also received his doctorate (1986) and acquired his postdoctoral teaching qualification (habilitation) in signal and systems theory (1988). He joined the German Aerospace Center (EOC) in 1989 and became director of the Remote Sensing Technology Institute in 2000. In 1994 he was a guest scientist at the Jet Propulsion Laboratory of the California Institute of Technology (Pasadena, USA). He taught at the University of Innsbruck in 1986 as a visiting professor. In 2003 Professor Bamler was appointed to the Chair of Remote Sensing Technology at TUM.
- IEEE Fellow (since 2005)
- Best Paper Awards (2002, 2004, 2005, 2006, 2008, 2009)
Zhu X, Bamler R: “Tomographic SAR inversion by L1 norm regularization – the compressive sensing approach”. IEEE Trans. Geosci. Remote Sensing. 2010; in press.Abstract
Meyer F, Bamler R, Jakowski N, Fritz T: “The potential of low-frequency SAR systems for mapping ionospheric TEC Distributions”. IEEE Geoscience and Remote Sensing Letters. 2006; 3(4): 560-564.Abstract
Bamler R, Eineder M: “Accuracy of differential shift estimation by correlation and split bandwidth interferometry for wideband and delta-k SAR systems”. IEEE Geoscience and Remote Sensing Letters. 2005; 2(2): 151-155.Abstract
Holzner J, Bamler R: “Burst-mode and ScanSAR interferometry”. IEEE Trans. Geosci. Remote Sensing. 2002; 40: 1917-1934.Abstract
Bamler R, Hartl P: “Synthetic aperture radar interferometry”. Inverse Problems. 1998; 14: R1-R54.Abstract