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TUTORIAL Information extraction, with emphasis on DSM generation, from high resolution optical satellite sensors. Karsten Jacobsen 1 , Emmanuel Baltsavias 2 , Nicolas Paparoditis 3 , Peter Reinartz 4.
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TUTORIAL Information extraction, with emphasis on DSM generation, from high resolution optical satellite sensors Karsten Jacobsen1, Emmanuel Baltsavias2, Nicolas Paparoditis3, Peter Reinartz4 1 University of Hannover, Nienburger Strasse 1, D-30167 Hannover, Germany, jacobsen@ipi.uni-hannover.de 2 Institute of Geodesy and Photogrammetry, ETH Zurich, Wolfgang Pauli Str. 15, CH-8093 Zurich, Switzerland, manos@geod.baug.ethz.ch 3 Institut Géographique National, 4 avenue Pasteur, 94165 Saint-Mande, France, nicolas.paparoditis@ign.fr 4 DLR (German Aerospace Centre), Institut für Methodik der Fernerkundung, Bildwissenschaften, D-82234 Oberpfaffenhofen, Post Wessling, Germany, peter.reinartz@dlr.de
Contents • Introduction (definition of HR, current HR sensors, main characteristics, technological alternatives) • Image quality, radiometric analysis, preprocessing • Geometric sensor models and sensor orientation • Automated DSM generation • DSM generation using SPOT-5 images • Reduction of DSM to DTM and quality analysis • Orthoimage generation and object extraction (mainly roads and buildings) • SRTM DTM • Conclusions and outlook