Prof. Dr. Xiaoxiang Zhu
Academic Career and Research Areas
The research of Xiaoxiang Zhu (b. 1984) focuses on signal processing in earth observation. In the next decade several German and European earth observation satellites equipped with innovative sensor technologies will be going into orbit. Zhu develops new algorithms to retrieve geo-information from the data collected by these satellites. These result in a far higher image resolution and more accurate geophysical variables, for example, for the assessment of natural hazards or mapping cities.
Zhu studied aerospace engineering in China. At TUM she completed her MSc in 2008, earned her doctoral degree in 2011 and acquired her postdoctoral teaching qualification (habilitation) in 2013, also in the field of signal processing. Zhu currently heads a DLR research team and a Helmholtz junior university research group at DLR and at TUM. She was a visiting scholar at CNR-IREA (Italy), Fudan University (China) and the University of Tokyo (Japan). Zhu has been professor of signal processing in earth observation at TUM since 2015.
- DFG Heinz Maier-Leibnitz Prize (2015)
- Helene-Lange Prize, EWE Foundation and University of Oldenburg (2015)
- “Best Innovators Under 35”, Technology Review Germany (2015)
- Dimitri N. Chorofas Foundation Research Award (2011)
- Several Best Paper Awards (2010, 2012)
Key Publications (alle Publikationen)
Zhu X, Montazeri S, Gisinger C, Hanssen R, Bamler R: “Geodetic SAR Tomography”. IEEE Transactions on Geoscience and Remote Sensing. 2015, in press.Abstract
Zhu X, Shahzad M.: “Facade Reconstruction Using Multiview Spaceborne TomoSAR Point Clouds ”. IEEE Transactions on Geoscience and Remote Sensing. 2014; 52 (6): 3541 – 3552.Abstract
Bieniarz J, Aguilera E, Zhu X, Mueller R, Reinartz P: „Joint Sparsity Model for Multilook Hyperspectral Image Unmixing”. IEEE Geoscience and Remote Sensing Letters. 2014; 12(4): 696-700.Abstract
Zhu X, Bamler R: “A Sparse Image Fusion Algorithm With Application to Pan-Sharpening”. IEEE Transactions on Geoscience and Remote Sensing. 2013; 51(5): 2827-2836.Abstract
Zhu X, Bamler R: “Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR”. IEEE Transactions on Geoscience and Remote Sensing. 2012; 50(1): 247-258.Abstract