Classification of Typical Tree Species in Laser Point Cloud Based on Deep Learning. - Jianchang Chen; Yiming Chen; Zhengjun Liu (Remote. Sens., 2021)

Extraction of Forestry Parameters Based on Multi-Platform LiDAR. - Jianchang Chen; Yiming Chen; Zhengjun Liu (IEEE Access, 2022)

Automatic Extraction of Power Lines from Aerial Images of Unmanned Aerial Vehicles. - Jiang Song; Jianguo Qian; Yongrong Li; Zhengjun Liu; Yiming Chen; Jianchang Chen (Sensors, 2022)

Automated Registration of Terrestrial Point Clouds Through Ground Overlapping Searching in Forests. - Xusong Dai; Xinlian Liang; Hanwen Qi; Jianchang Chen; Xu Wang 059; Xiaochen Wang; Qingjun Zhang; Jian Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data. - Yaoting Liu; Yiming Chen; Zhengjun Liu; Jianchang Chen; Yuxuan Liu 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

ForestSemantic: a dataset for semantic learning of forest from close-range sensing. - Xinlian Liang; Hanwen Qi; Xuejie Deng; Jianchang Chen; Shangshu Cai; Qingjun Zhang; Yunsheng Wang; Antero Kukko; Juha Hyyppä (Geo spatial Inf. Sci., 2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)