All Stories

  1. TLNet: A deep learning framework for tree detection in forest point clouds using multi-layered forest structure

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, April 2026, Elsevier

    Xin Xu

  2. Graph-Topological Deep Detector for Cross-Platform Forest Point Clouds

    Article • November 2025, ACM (Association for Computing Machinery)

    Xin Xu

  3. From Point Clouds to Forest Analytics: libTTS, a Practical Toolkit for the Geoindustry

    Article • November 2025, ACM (Association for Computing Machinery)

    Yunting Song, Xin Xu

  4. Automated registration of forest point clouds from terrestrial and drone platforms using structural features

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, May 2025, Elsevier

    Professor Yuichi Onda, Xin Xu

  5. A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020)

    Article • September 2023, Copernicus GmbH

    Xin Xu

  6. Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds

    Article • International Journal of Applied Earth Observation and Geoinformation, February 2023, Elsevier

    Xin Xu

  7. A topology-based approach to individual tree segmentation from airborne LiDAR data

    Article • GeoInformatica, January 2023, Springer Science + Business Media

    Xin Xu

  8. Outline buildings from airborne laser scanning point clouds.

    Article • November 2022, ACM (Association for Computing Machinery)

    Xin Xu

  9. A Persistence-Based Approach for Individual Tree Mapping

    Article • November 2020, ACM (Association for Computing Machinery)

    Xin Xu