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Prof. Dr.-Ing. Richard Bamler
Richard Bamler

Prof. Dr. Richard Bamler
Remote Sensing Technology Institute,
Earth Observation Center (EOC),
German Aerospace Center (DLR),
82234 Wessling,

Remote Sensing Technology ,
Technische Universitaet Muenchen (TUM),
Arcissstr. 21,
80333 Muenchen,

Richard Bamler received the Diploma degree in electrical engineering, Doctorate degree in engineering, and the Habilitation in the field of signal and systems theory from the Technische Universitaet Muenchen (TUM), Muenchen, Germany, in 1980, 1986, and 1988, respectively. He worked at the university from 1981 to 1989 on optical signal processing, holography, wave propagation, and tomography. He joined the German Aerospace Center (DLR), Wessling, Germany, in 1989, where he is currently the Director of the Remote Sensing Technology Institute. In early 1994, he was a Visiting Scientist at the Jet Propulsion Laboratory in preparation for the SIC-C/X-SAR missions, and in 1996, he was Guest Professor at the University of Innsbruck, Innsbruck, Auntria. Since 2003, he has held a full professorship in remote sensing technology at the TUM as a double appointment with his DLR position. His teaching activities include university lectures and courses on signal processing, estimation theory, and SAR. Since 2010, he has been a member of the executive board of Munich Aerospace, a newly founded research and education project between Munich universities and extramural research institutions, including DLR. Since he joined DLR, his team and his institute have been working on SAR and optical remote sensing, image analysis and understanding, stereo reconstruction, computer vision, ocean color, passive and active atmospheric sounding, and laboratory spectrometry. They were and are responsible for the development of the operational processors for SIR-C/X-SAR, SRTM, TerraSAR-X, TanDEM-X, ERS-2/GOME, ENVISAT/SCIAMACHY, MetOp/GOME-2, and EnMAP. He is the author of more than 200 scientific publications, among them 50 journal papers, a book on multidimensional linear systems theory, and holds eight patents and patent applications in remote sensing. His current research interests are in algorithms for optimum information extraction from remote sensing data with emphasis on SAR. This involves new estimation algorithms, like sparse reconstruction and compressive sensing. He has devised several high-precision algorithms for SAR processing, SAR calibration and product validation, GMTI for traffic monitoring, SAR interferometry, phase unwrapping, persistent scatterer interferometry, and differential SAR tomography.