Individual Tree Species Classification Using the Pointwise MLP-Based Point Cloud Deep Learning Method

Author:

Liu BingjieORCID,Huang HuaguoORCID,Tian Xin,Ren Min

Publisher

MDPI

Reference22 articles.

1. Tree species classification using structural features derived from terrestrial laser scanning;ISPRS J. Photogramm. Remote Sens.,2020

2. Automatic tree species recognition with quantitative structure models;Remote Sens. Environ.,2017

3. Riparian trees genera identification based on leaf-on/leaf-off airborne laser scanner data and machine learning classifiers in northern France;Int. J. Remote Sens.,2019

4. Tree species classification based on explicit tree structure feature parameters derived from static terrestrial laser scanning data;Agric. For. Meteorol.,2016

5. Identifying the genus or species of individual trees using a three-wavelength airborne lidar system;Remote Sens. Environ.,2018

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1. An Efficient Technique for Determining Tree Coordinates using LiDAR Data via Deep Learning;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

2. Urban Tree Species Classification Using UAV-Based Multispectral Images and LiDAR Point Clouds;Journal of Geovisualization and Spatial Analysis;2023-12-13

3. Individual Tree Segmentation Quality Evaluation Using Deep Learning Models LiDAR Based;Optical Memory and Neural Networks;2023-11-28

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5. TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features;IEEE Transactions on Geoscience and Remote Sensing;2023

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