Individual Rubber Tree Segmentation Based on Ground-Based LiDAR Data and Faster R-CNN of Deep Learning

Individual Rubber Tree Segmentation Based on Ground-Based LiDAR Data and Faster R-CNN of Deep Learning

Rubber trees in southern China are often impacted by natural disturbances that can result in a tilted tree body. Accurate crown segmentation for individual rubber trees from scanned point clouds is an essential prerequisite for accurate tree parameter retrieval. In this paper, three plots of differe...

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Bibliographic Details
Main Authors: Jiamin Wang, Xinxin Chen, Lin Cao, Feng An, Bangqian Chen, Lianfeng Xue, Ting Yun
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Forests
Subjects:
deep learning
tree crown segmentation
ground-based mobile LiDAR
rubber tree
Faster R-CNN
Online Access:https://www.mdpi.com/1999-4907/10/9/793

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https://www.mdpi.com/1999-4907/10/9/793

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