Jinyuan Shao 邵金圆

I am a PhD candidate at Purdue University advised by Prof. Songlin Fei. Prior to Purdue, I obtained my Master of Science from the Insitute of Urban Environment, Chinese Academy of Sciences.

My research interests include Machine Learning, 3D Computer Vision, and Remote Sensing. I currently focus on developing 3D vision algorithms on LiDAR point clouds for automatic forest inventory. By leveraging modern sensing technologies and intelligent algorithms, I aim to improve traditional, labor-intensive forest inventory methods to promote sustainable forest practices globally.

Please reach out to me if you have questions about my research or hope to seek collaboration.

Email  |  CV  |  GitHub  |  Google Scholar  |  LinkedIn

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News

Jan 2025: 🏆 Win the first place in ASPRS 2024 GeoChallenge as the team leader! (Announcement; News)

Research
Large-scale inventory in natural forests with mobile LiDAR point clouds
Jinyuan Shao, Yi-Chun Lin, Cameron Wingren, Sang-Yeop Shin, William Fei, Joshua Carpenter, Ayman Habib, Songlin Fei
Science of Remote Sensing (SRS), 2024
poster
Radiometric and Geometric Approch for Major Woody Parts Segmentation in Forests LiDAR Point Clouds
Jinyuan Shao, Yi-Ting Cheng, Yerassyl Koshan, Raja Manish, Ayman Habib, Songlin Fei
IEEE International Geoscience and Remote Sensing Sypossium (IGARSS), 2023
poster
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
Sheng Fang, Kaiyu Li, Jinyuan Shao, Zhe Li,
IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 2021
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