Land Cover Classification with Multispectral LiDAR Based on Multi-Scale Spatial and Spectral Feature Selection. - Shuo Shi; Sifu Bi; Wei Gong 004; Biwu Chen; Bowen Chen 008; Xingtao Tang; Fangfang Qu; Shalei Song (Remote. Sens., 2021)

A convolution neural network for forest leaf chlorophyll and carotenoid estimation using hyperspectral reflectance. - Shuo Shi; Lu Xu; Wei Gong 004; Bowen Chen 008; Biwu Chen; Fangfang Qu; Xingtao Tang; Jia Sun; Jian Yang 010 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Improving leaf chlorophyll content estimation through constrained PROSAIL model from airborne hyperspectral and LiDAR data. - Lu Xu; Shuo Shi; Wei Gong 004; Zixi Shi; Fangfang Qu; Xingtao Tang; Bowen Chen 008; Jia Sun (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Point Cloud Data Processing Optimization in Spectral and Spatial Dimensions Based on Multispectral Lidar for Urban Single-Wood Extraction. - Shuo Shi; Xingtao Tang; Bowen Chen 008; Biwu Chen; Qian Xu; Sifu Bi; Wei Gong 004 (ISPRS Int. J. Geo Inf., 2023)

Fusing Ultra-Hyperspectral and High Spatial Resolution Information for Land Cover Classification Based on AISAIBIS Sensor and Phase Camera. - Fangfang Qu; Shuo Shi; Zhongqiu Sun; Wei Gong 004; Biwu Chen; Lu Xu; Bowen Chen 008; Xingtao Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Waveform Information Accurate Extraction for Massive and Complex Waveform Data of Hyperspectral Lidar. - Shuo Shi; Chengyu Gong; Qian Xu; Ao Wang; Xingtao Tang; Sifu Bi; Wei Gong 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)