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Rui Song M.A.Mathematik und Naturwissenschaften
Faculty of Mathematics und Natural Sciences, Physics Department, University of Wuppertal
• PhD student
• Supervisor: Martin Riese and Martin Kaufmann
• Research Topic: Development of a tomographic reconstruction technique to derive gravity wave parameters from satellite-borne multi-angle airglow observations
Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS)
• Master of Science in Geography
• Supervisor: Prof. Huadong Guo
Beijing University of Aeronautics & Astronautics (BUAA)
• Bachelor of Engineering in Remote Sensing Technology
• Ranking (Top 20% in the grade)
Titel und Abstract des Dissertationsprojektes
Development of a tomographic reconstruction technique to derive gravity wave parameters from satellite-borne multi-angle airglow observations
Recent advance in detector technology allow to sample atmospheric emissions at unprecedented spatial and temporal resolution. These measurements in combination with tomographic reconstruction techniques will allow to obtain dynamical structures in temperature and constituent data at the high horizontal resolution of a nadir sounder with the altitude resolution provided by a limb sounding instrument. This multi-position and multi-angle observation allows to apply tomographic reconstruction techniques in order to derive a three dimensional picture of the atmospheric volume. In terms of gravity waves, these are the horizontal and vertical wavelength as well as the propagation direction of the waves.
As stated above, the special attraction of this strategy is that it could be realized by a nano satellite mission. This kind of satellite mission has become increasingly popular with the rapid advances in decreasing electronics size, in greatly increased capability of single components, such as miniaturized star sensors and attitude control systems, and very low power consumption. On the payload side, performance improvements in CMOS image sensors allow to build devices with very low power consumption, high frame rate operations, and flexible read-out methods – making this technique highly suitable for the application on micro satellites.
- R. Song, H. Guo, G. Liu, Z. Perski and J. Fan, “Improved Goldstein SAR interferogram filter based on empirical mode decomposition,” IEEE Geoscience and Remote Sensing Letters, vol.11, pp. 399-403, 2014.
- R. Song, H. Guo, G. Liu, Z. Perski, H. Yue, C. Han and J. Fan, “Improved Goldstein SAR Interferogram Filter Based on Adaptive-Neighborhood Technique,” IEEE Geoscience and Remote Sensing Letters, vol.12, pp. 140-144, 2015.
- R. Song, H. Guo, G. Liu, Z. Perski, H. Yue, C. Han and J. Fan, “SAR Interferometric Phase Filtering Technique Based on Bivariate Empirical Mode Decomposition,” Remote Sensing Letters, vol. 5, pp. 743-752, 2014.
Sonstige wissenschaftliche Aktivitäten/Mitgliedschaften
Projects: Took part in “Dragon 3 cooperation”
Worked as the Co-investigators in our research group.
“Dragon 3 cooperation” is a scientific and technical research collaboration between Europe and China. Our research aims to carry out an extensive exploitation of available remote sensing data to evaluate their importance for hazard and risk management and disaster prevention. The study also focus on some critical technique study of InSAR and Lidar, and the output will help government to find the sign of the landslides.