Classify Tree Species from Point Clouds Generated by Different Laser Sensors: A Multi-View Projection Strategy-Reference-Cited by-同舟云学术

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Classify Tree Species from Point Clouds Generated by Different Laser Sensors: A Multi-View Projection Strategy

Published:2024-07-07 Issue: Volume: Page:5245-5248
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Luo Xin¹,Tian Xin¹,Liu Bingjie²,Li Yang³,Chen Shuxin¹,Wang Haiyi¹

Affiliation:

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

2. Shanxi Agricultural University,College of Forestry,Jinzhong,China,030801

3. Northeast Forestry University,College of Mechanical and Electrical Engineering,China

Funder

Chinese Academy of Forestry

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641863.pdf?arnumber=10641863

Reference12 articles.

1. In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest

2. Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

3. Semantic Segmentation of Spectral LiDAR Point Clouds Based on Neural Architecture Search

4. See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning

5. Tree Species Classification of Point Clouds from Different Laser Sensors Using the PointNet++ Deep Learning Method

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