Jinhu Wang

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jinhu.wang(at)hotmail.com

Currently, I am a Research Associate in the Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute(AIR), Chinese Academy of Sciences(CAS), Beijing, China.

Before joining CAS, I was a Postdoctoral Researcher with Dr. Roderik Lindenbergh in the Dept. Geosciences and Remote Sensing, Delft University of Technology (TU Delft) from July-2017 to November-2018. Between September-2016 and November-2018, I worked as a Software Engineer in Regional Innovation Center Europe (RICE) at Fugro, The Netherlands.

I received my Ph.D. degree in scalable information extraction from dense 3D point cloud data obtained by mobile laser scanning in the Section of Optical and Laser Remote Sensing (OLRS) under the supervision of Prof. Massimo Menenti and Dr. Roderik Lindenbergh at TU Delft in July-2017. Before that, I obtained a Master's degree at the Academy of Opto-Electronics (AOE), University of Chinese Academy of Sciences(UCAS) in 2012 and a Bachelor's degree at China University of Geosciences (Beijing) in 2009 respectively.

News

Sep 9, 2022 My proposal was granted by the National Natural Science Foundation of China. :sparkles: 🍺
Sep 1, 2021 Yuyu Chen joined the team for her M.Sc. study until the summer of 2024.
Nov 20, 2020 I co-organized the 6-th Chinese National Conference on LiDAR held at CUGB. 🍺
Sep 7, 2020 Lele Zhang joined the team for her M.Sc. study until the summer of 2023.
Oct 1, 2019 I was awarded the 2019 edition of the E.H. Thompson Award issued by RSPSoc of UK. :sparkles:
Sep 1, 2019 AOE, RADI and IECAS were reformed to establish AIR, CAS.
May 9, 2019 I succeeded in defending myself as a supervisor for M.Sc. students at the UCAS. :sparkles:
Dec 12, 2018 I started working as a Research Associate at the Academy of Opto-Electronics (AOE), CAS.
Mar 20, 2018 I won the Best Paper Award at Dept. GRS & GSE research day. :sparkles:

Recent publications

  1. A multi-scale geometric feature-adaptive density-aware framework for robust sub-conductor segmentation in high-voltage transmission corridors
    Yueqian Shen, Chenyang Zhang, Jinhu Wang, Jinguo Wang, Junjun Huang, and Yanming Chen
    Advances in Space Research 2025
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  2. Boosted bagging: A hybrid ensemble deep learning framework for point cloud semantic segmentation of shield tunnel leakage
    Jundi Jiang, Yueqian Shen, Jinhu Wang, Yufu Zang, Weitong Wu, Jinguo Wang, Junxi Li, and Vagner Ferreira
    Tunnelling and Underground Space Technology 2025
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  3. A workflow for extracting ungulate trails in wetlands using 3D point clouds obtained from airborne laser scanning
    Jinhu Wang, P. Cornelissen, and W. Daniel Kissling
    Frontiers in Remote Sensing 2025
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