Prof. Dr. Richard Bamler
Remote Sensing Technology Institute,
Earth Observation Center (EOC),
German Aerospace Center (DLR),
Oberpfaffenhofen,
82234 Wessling,
G E R M A N Y
Remote Sensing Technology ,
Technische Universitaet Muenchen (TUM),
Arcissstr. 21,
80333 Muenchen,
G E R M A N Y
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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.
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