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prof.dr.ir. A. Stein (Alfred)

Full Professor

About Me

Prof. dr. ir. Alfred Stein (1958) is professor in Spatial Statistics and Image Analysis. He received his MSc in mathematics and information science, with a specialization in applied statistics from Eindhoven University of Technology and his PhD at Wageningen University. He started his career at the soil science and geology department of Wageningen university, leading to a professorship at the chair of mathematical and statistical models in 2000. In 1995 he was appointed as a visiting professor at the - then - Institute of ITC where in 2002 he became professor at the new department of Earth Observation Science, which he has headed for more than 10 years. From 2008 until 2020 he has been a member of the faculty board alternating with the portfolios of research and education.

His research interests focus on statistical aspects of spatial and spatio-temporal data, e.g. monitoring data, in the widest sense. Optimal sampling, image analysis, spatial statistics, use of prior information, but also issues of data quality, fuzzy techniques, random sets, all in a Bayesian setting.

From 1998 onwards he has been working with more than 50 PhD students on a range of spatial (and temporal) statistical topics. At present, 12 PhD students are working under his supervision. Since 2011 he is the editor-in-chief of Spatial Statistics, the leading platform in the domain of spatial statistics. It publishes articles at the highest scientific level concerning important and timely developments in the theory and applications of spatial and spatio-temporal statistics. He is associate editor of the International Journal of Applied Geoinformation and Earth Observation and Environmental and Ecological Statistics. 

For more information about Alfred Stein see the UT's Featured Scientists page:

Expertise

Engineering & Materials Science
Remote Sensing
Satellites
Earth & Environmental Sciences
Image Resolution
Method
Modeling
Pixel
Remote Sensing
Synthetic Aperture Radar

Ancillary Activities

  • Elsevier
    Editor in chief Spatial Statistics
  • University Pretoria
    Honorary professorship
  • Elsevier
    Organising Spatial Stats conference
  • Hebrew University
    Research on spatial traffic aspects
  • Zhuhai University
    Research on sea ice
  • Fuzhou University
    Member of the Key Laboratory of Spatial Data Mining & International Sharing of the Ministry of Education, Fuzhou University

Publications

Recent
Samadzadegan, F., Toosi, A. , Dadrass javan, F. , & Stein, A. (2023). Decision-based fusion of pansharpened VHR satellite images using two-level rolling self-guidance filtering and edge information. In M. R. Delavar, R. Ali Abbaspour, & S. Farzaneh (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. X-4/W1-2022, pp. 691-698). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-X-4-W1-2022-691-2023
Zhao, W. , Persello, C., Lv, X. , & Stein, A. (2023). Vectorizing Planar Roof Structure From Very High Resolution Remote Sensing Images Using Transformers. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 4899-4902). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282198
Maslov, K. A. , Persello, C., Schellenberger, T. , & Stein, A. (2023). GLAVITU: A Hybrid CNN-Transformer for Multi-Regional Glacier Mapping from Multi-Source Data. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1233-1236). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10281828
Aghababaei, H., Ferraioli, G. , Stein, A., & Vitale, S. (2023). Deep learning based polarimetric data augmentation: Dual2Full-pol extension. IEEE transactions on geoscience and remote sensing, 61. https://doi.org/10.1109/TGRS.2023.3299419
Zhou, W. , Persello, C. , & Stein, A. (2023). Building usage classification using a transformer-based multimodal deep learning method. In 2023 Joint Urban Remote Sensing Event, JURSE 2023 (2023 Joint Urban Remote Sensing Event, JURSE 2023). IEEE. https://doi.org/10.1109/JURSE57346.2023.10144168

UT Research Information System

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1332
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1332
P.O. Box 217
7500 AE Enschede
The Netherlands

Additional Contact Information