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I am a PhD student 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 Computer Vision, Machine Learning and Remote Sensing. I'm currently focusing on advancing automatic forest inventory with LiDAR point clouds. By leveraging modern sensing technologies and intelligence algorithms, I hope to improve the traditional labor-intensive forest inventory to promote global sustainable forest practices. Please reach out to me if you have questions about my research or hope to seek potential collaboration. Email | CV | GitHub | Google Scholar | LinkedIn |
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Jinyuan Shao, Yi-Ting Cheng, Yerassyl Koshan, Raja Manish, Ayman Habib, Songlin Fei IEEE International Geoscience and Remote Sensing Sypossium (IGARSS), 2023 poster An unsupervised method for major wood segmentation combining radiometric and geometric features from LiDAR point clouds. |
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Sheng Fang, Kaiyu Li, Jinyuan Shao, Zhe Li, IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 2021 code A densely connected siamese netwrok for remote sensing change detection. |