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

Published in:	Remote Sensing
Main Authors:	Zhenyang Hui, Shuanggen Jin, Dajun Li, Yao Yevenyo Ziggah, Bo Liu
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
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