Prof. Dr. -Ing. habil. Xiaoxiang Zhu

Xiaoxiang Zhu

Tel:       +49-89-289-22659 (TUM)
            +49-8153-28-3531 (DLR)
Fax:      +49-89-289-23202 (TUM)
Room:   1789
E-mail:  xiaoxiang.zhu[at]dlr.de
            xiaoxiang.zhu[at]tum.de
More information:
            Google Scholar
            ResearchGate

Curriculum Vitae


  • Since 04.2018, Head of Department "EO Data Science", DLR-IMF
  • Since 04.2018, Head of Team "Big Data Analytics",  EO Data Science, DLR-IMF
  • Since 05.2016, Member, Leopodina - Nationale Akademie der Wissenschaften/Junge Akademie
  • Since 03.2016, Member, Junges Kolleg der Bayerischen Akademie der Wissenschaften
  • Since 2015, Professor for Signal Processing in Earth Observation, TUM
  • 2011 - 2018, Scientist and Head of team "Signal Analysis", DLR-IMF
  • Since 2013, Helmholtz Young Investigators Group Leader of “SiPEO”
  • 12.2013 - 06.2015, Private Dozent, TUM
  • 09.2013 - 06.2015, TUM Junior Fellow, TUM
  • Since 10.2011, Research Group Leader of "SparsEO", Munich Aerospace
  • 08.2008 - 05.2011, Research Assistant, TUM

Awards


  • Leopoldina Early Career Award (2018)
  • PRACE Ada Lovelace Award for HPC (2018)
  • Helmoholtz Excellence Professorship (2017)
  • ERC Starting Grant (2016)
  • IEEE GRSS Early Career Award (2016)
  • DLR Science Award (2016)
  • Heinz Maier-Leibnitz-Preis der DFG (2015)
  • Helene-Lange-Preis, EWE-Stiftung und Universit?t Oldenburg (2015)
  • “Best Innovators Under 35”, Technology Review Germany (2015)
  • Hugo-Denkmeier-Preis (2012)
  • Dimitri N. Chorofas Foundation Research Award (2011)
  • Multiple Best Paper Awards (2010, 2012, 2016, 2017)

Editorial Activities


Research Interests


  •  Remote sensing and Earth observation
  •  Signal processing
  •  Artificial intelligence and machine learning
  •  Data Science  
  •  Application focus - global urban mapping

Videos


Key Publications


  • Mou L., Bruzzone L., Zhu X. (2019)
    Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network
    for Change Detection in Multispectral Imagery

    IEEE Transactions on Geoscience and Remote Sensing 57(2), pp.924-935
  • Shi Y., Zhu X., Yin W., Bamler R. (2018) 
    A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR
    IEEE Transactions on Geoscience and Remote Sensing, 56(10), 6148-6158
  • Zhu X, Tuia D, Mou L, Xia G, Zhang L, Xu F, Fraundorfer F (2017)
    Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
    IEEE Geoscience and Remote Sensing Magazine. 2017; 5(4): 8-36.
  • Zhu X., Montazeri S., Gisinger C., Hanssen R., Bamler R. (2016):
    Geodetic SAR Tomography
    IEEE Transactions on Geoscience and Remote Sensing 54 (1), pp. 18-35.
  • Zhu X., Bamler R. (2013):
    A Sparse Image Fusion Algorithm with Application to Pan-sharpening
    IEEE Transactions on Geoscience and Remote Sensing 51 (5), pp. 2827-2836.
  • Zhu X., Bamler R. (2010):
    Tomographic SAR Inversion by L1 Norm Regularization – The Compressive Sensing Approach
    IEEE Transactions on Geoscience and Remote Sensing, 48(10), pp. 3839-3846. 

 

See here for the full list of publications