FOREST SPECIES CLASSIFICATION BASED ON THREE-DIMENSIONAL COORDINATE AND INTENSITY INFORMATION OF AIRBORNE LIDAR DATA WITH RANDOM FOREST METHOD

5 citations as recorded by crossref.

1. Deeply supervised network for airborne LiDAR tree classification incorporating dual attention mechanisms Z. Zhang et al.
2. Tree Type Classification from ALS Data: A Comparative Analysis of 1D, 2D, and 3D Representations Using ML and DL Models S. Mustafić et al.
3. Tree Species Classification in a Complex Brazilian Tropical Forest Using Hyperspectral and LiDAR Data R. Pereira Martins-Neto et al.
4. Estimation of biogenic volatile organic compound (BVOC) emissions in forest ecosystems using drone-based lidar, photogrammetry, and image recognition technologies X. Duan et al.
5. Tree species classification on images from airborne mobile mapping using ML.NET M. Michałowska et al.