3D-CNN BASED TREE SPECIES CLASSIFICATION USING MOBILE LIDAR DATA

6 citations as recorded by crossref.

1. Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data C. Sothe et al. 10.1080/15481603.2020.1712102
2. ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications A. Kaleab Taye et al. 10.1109/ACCESS.2025.3567042
3. Improvement of 3D LiDAR point cloud classification of urban road environment based on random forest classifier M. Mohamed et al. 10.1080/10106049.2022.2102218
4. The Extraction of Torreya grandis Growing Areas Using a Spatial–Spectral Fused Attention Network and Multitemporal Sentinel-2 Images: A Case Study of the Kuaiji Mountain Region Y. Lyu et al. 10.3390/agriculture15080829
5. A Scoping Review of Voxel-Model Applications to Enable Multi-Domain Data Integration in Architectural Design and Urban Planning J. Tyc et al. 10.3390/architecture3020010
6. A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods L. Zhong et al. 10.3390/f15050852