Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation

Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation

Individual tree extraction is an important process for forest resource surveying and monitoring. To obtain more accurate individual tree extraction results, this paper proposed an individual tree extraction method based on transfer learning and Gaussian mixture model separation. In this study, trans...

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Bibliographic Details
Main Authors: Zhenyang Hui, Shuanggen Jin, Dajun Li, Yao Yevenyo Ziggah, Bo Liu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
individual tree extraction
LiDAR point clouds
transfer learning
kernel density estimation
Gaussian mixture model
Online Access:https://www.mdpi.com/2072-4292/13/2/223

Internet

https://www.mdpi.com/2072-4292/13/2/223

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