Lixian Zhang

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Lixian Zhang | 张立贤

Zlx.jpg


PhD candidate in
Department of Earth System Science
Tsinghua University

Email: zhanglixian18@mails.tsinghua.edu.cn

Education Background

Sep 2014 – June 2018
Wuhan University, B.S. in School of Geodesy and Geomatics

Sep 2018 – Ongoing
Tsinghua University, Ph.D. candidate

Intern Experience

May 2020 – Sep 2020
TerraQuanta, Computer vision algorithm intern

Sep 2020 – Ongoing
SenseTime, Remote sensing algorithm intern


Research Interest

Infrastructure Extraction based on Remote Sensing and Deep Learning

Road extraction, Building extraction, Street trees detection

  • We propose a promising sub-branch learning to improve extraction accuracy in two stages: 1) the multi-task learning stage and 2) the post-process stage for iterative road connectivity refinement
  • We propose a novel framework that integrates super-resolution and image segmentation for achieving super-resolution building extraction
  • We integrate data of overhead view (remote sensing images) and eye-level view (Google Street View) to detect urban trees using Faster R-CNN and saliency detection


Remote Sensing Images Quality Improvement

Super resolution, Image deblurring, Perceptional improvement of remote sensing

  • We propose a solid reference-based super-resolution approapch for remote sensing image. (Dong et al., 2020 IEEE TGRS, accept)
  • We propose a potential approach for cross-sensors super resolution for medium-resolution satellite images based on deep learning.


Competitions & Awards

Huawei Cloud Competition: forecasting short-term rainfall using massive radar echo data, Third Prize, 2020
Tsinghua University Secondary Scholarship, 2020
National Scholarship, 2018
National Scholarship, 2018