Personal information

Address: School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei, 430079, P.R. China
地址：武汉大学测绘学院

E-mail: quyj_whu@whu.edu.cn

GitHub: https://github.com/jieeeeeeeeeee

Education (教育经历)

Ph.D. in Photogrammetry and Computer Vision, 09/2020 ~ now
School of Geodesy and Geomatics, Wuhan University
Master in Photogrammetry and Computer Vision, 09/2017~06/2020
School of Geodesy and Geomatics, Wuhan University
Bachelor in Geographic Information System (GIS), 2013.09~2017.06
School of Hydraulic Science and Engineering, Zhengzhou University

摄影测量与遥感专业博士, 09/2020 ~ 现在
武汉大学测绘学院
摄影测量与计算机视觉硕士, 09/2017~06/2020
武汉大学测绘学院
地理信息科学本科 (GIS), 2013.09~2017.06
郑州大学地球学院

Research experiences

High quality and low-noise Variational mesh refinement, 09/2018 - 06/2020
This is the sample result.

高质量低噪声的网格优化, 09/2018 - 06/2020

Multi-view 3d reconstruction for satellite images, 06/2020 - now
High-quality model reconstruction of multi-view images using neural radiation field technique. See https://jieeeeeeeeeee.github.io/sat-mesh/.

基于神经辐射场的卫星多视图三维重建, 06/2020 - 现在
基于神经辐射场的卫星多视图高质量三维重建.详情见 https://jieeeeeeeeeee.github.io/sat-mesh/.

DSM refinement based on contour constraints, 2021

基于边界约束的DSM优化 2021

Demo of satellite reconstruction in Florida, America(25km2). 2022

美国佛罗里达州的卫星三维重建结果. 2022

Publications

[1]Qu Y., & Deng, F. (2023). Sat-Mesh: Learning Neural Implicit Surfaces for Multi-View Satellite Reconstruction. Remote Sensing, 15(17), 4297.
[2] Qu Y, Yan Q, Deng F, et al. Total differential photometric mesh refinement with self-adapted mesh denoising. Photonics. 2023; 10(1):20. https://doi.org/10.3390/photonics10010020.
[3] Qu Y, Yan Q, Deng F, et al. Satellite True Digital Orthophoto Map Generation Without Elevation Data: A New NeRF-based Method. International Journal of Remote Sensing Letter