TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features-Reference-Cited by-同舟云学术

TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features

Published:2023 Issue: Volume:61 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Bingjie¹^ORCID,Hao Yuanshuo²^ORCID,Huang Huaguo¹,Chen Shuxin³^ORCID,Li Zengyuan³^ORCID,Chen Erxue³^ORCID,Tian Xin³,Ren Min⁴^ORCID

Affiliation:

1. Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China

2. Key Laboratory of Sustainable Forest Ecosystem Management Ministry of Education, School of Forestry, Northeast Forestry University, Harbin, Heilongjiang, China

3. Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China

4. China Mobile Group Shanxi Design Institute Company, Ltd, Taiyuan, China

Funder

National Key Research and Development Program of China

National Science and Technology Major Project of China’s High Resolution Earth Observation System

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10098635.pdf?arnumber=10098635

Reference57 articles.

1. Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

2. Characterizing the Effect of Spatial Heterogeneity and the Deployment of Sampled Plots on the Uncertainty of Ground “Truth” on a Coarse Grid Scale: Case Study for Near‐Infrared (NIR) Surface Reflectance

3. Classification of planted forest species in southern China with airborne hyperspectral and LiDAR data

4. Deep learning for LiDAR-only and LiDAR-fusion 3D perception: a survey

5. Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tree species recognition from close-range sensing: A review;Remote Sensing of Environment;2024-11

2. Ensemble-based multimodal medical imaging fusion for tumor segmentation;Biomedical Signal Processing and Control;2024-10

3. Quantifying vegetation species functional traits along hydrologic gradients in karst wetland based on 3D mapping with UAV hyperspectral point cloud;Remote Sensing of Environment;2024-06

4. A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods;Forests;2024-05-13

5. Mapping the Distribution of High-Value Broadleaf Tree Crowns through Unmanned Aerial Vehicle Image Analysis Using Deep Learning;Algorithms;2024-02-17