Zeyu Xu
PhD student, ITC, University of Twente.
I mainly work in remote sensing, ecology and computer vision. My current research focuses on remote sensing and deep learning.
I have been studying remote sensing and image processing since 2014. In 2017, I started to learn about deep learning methods and became interested in their application in remote sensing.
This is my website in Chinese：www.xcosmic.net
Research
For more introduction, please click the research page.
Previous education
Sep 2018 – Jun 2021 University of Chinese Academy of Sciences (UCAS)/Aerospace Information Research Institute (AIRCAS) Master
Sep 2014 – Jun 2018 Shandong University of Science and Technology Bachelor
Previous research experience
Participating in the National Key R&D Program of China “Integration technology and emergency response demonstration of land resources and ecological environment security monitoring system”
Jul 2018 – Jun 2021
Participating in the National Key R&D Program of China “Research on key technologies of global comprehensive observation results management and shared service system”
Jun 2019 – Jun 2021
Participating in the National Natural Science Foundation of China program “Research on identification and rapid damage assessment methods of typical disaster-affected objects in earthquake based on domestic high-resolution images”
August 2020 – April 2021
Participating in the program “Interpretation of remote sensing data of long time series land cover in typical Chinese cities” of China Academy of urban planning & design
July 2019 – October 2019
Participating in the program “Interpretation and analysis of remote sensing data in Daqing river basin” of China Academy of urban planning & design