[1] Wang Y. Review and expectation of the development and ideas of China city greening[J]. Journal of Zhejiang Forestry College, 20, 315-320(2003).

[2] Jiang H H, Liu L M, Liu P Z et al. Online calculation method of fruit trees canopy volume for precision spray[J]. Transactions of the Chinese Society for Agricultural Machinery, 50, 120-129(2019).

[3] Shen Y, Zhuang Z Z, Liu H et al. Fast recognition method of multi-feature trunk based on RealSense depth camera[J]. Transactions of the Chinese Society for Agricultural Machinery, 53, 304-312(2022).

[4] Zamanakos G, Tsochatzidis L, Amanatiadis A et al. A comprehensive survey of lidar-based 3D object detection methods with deep learning for autonomous driving[J]. Computers & Graphics, 99, 153-181(2021).

[5] Guo Y L, Wang H Y, Hu Q Y et al. Deep learning for 3D point clouds: a survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 4338-4364(2021).

[6] Su H, Maji S, Kalogerakis E et al. Multi-view convolutional neural networks for 3D shape recognition[C], 945-953(2016).

[7] Feng Y F, Zhang Z Z, Zhao X B et al. GVCNN: group-view convolutional neural networks for 3D shape recognition[C], 264-272(2018).

[8] Maturana D, Scherer S. VoxNet: a 3D convolutional neural network for real-time object recognition[C], 922-928(2015).

[9] Zhang M D, Yan M X, Ma Y S et al. 3D voxel model retrieval based on octree structure[J]. Chinese Journal of Computers, 44, 334-346(2021).

[10] Charles R Q, Hao S, Mo K C et al. PointNet: deep learning on point sets for 3D classification and segmentation[C], 77-85(2017).

[11] Charles R Q, Li Y, Hao S et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[C], 5099-5108(2017).

[12] Yi Q, Zhong H Y, Liu L et al. Dynamic inspection of wheel profile based on ROI-RSICP algorithm[J]. Chinese Journal of Lasers, 47, 1104006(2020).

[13] Chen L, Wang H Y, Ji C M et al. Estimation algorithm of apple phenotypic parameters based on PointNet and transfer learning[J]. Journal of Nanjing Agricultural University, 44, 1209-1216(2021).

[14] Hu H, Yu J C, Yin L et al. An improved PointNet++ point cloud segmentation model applied to automatic measurement method of pig body size[J]. Computers and Electronics in Agriculture, 205, 107560(2023).

[15] Chen X Y, Yun T, Xue L F et al. Classification of tree species based on lidar point cloud data[J]. Laser & Optoelectronics Progress, 56, 122801(2019).

[16] Zhang Y P, Tan Y L, Onda Y et al. A tree detection method based on trunk point cloud section in dense plantation forest using drone lidar data[J]. Forest Ecosystems, 10, 100088(2023).

[17] Lu H Q, Wu J C, Zhang Z J. Tree branch and leaf separation using terrestrial laser point clouds[J]. Chinese Journal of Lasers, 49, 2310001(2022).

[18] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).

[19] Zhao Z X, Chen K X, Yamane S. CBAM-Unet: easier to find the target with the attention module “CBAM”[C], 655-657(2021).

[20] Hou Q B, Zhou D Q, Feng J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).

[21] Hu Q Y, Yang B, Xie L H et al. RandLA-net: efficient semantic segmentation of large-scale point clouds[C], 11105-11114(2020).