Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery

Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery

Detecting and mapping individual trees accurately and automatically from remote sensing images is of great significance for precision forest management. Many algorithms, including classical methods and deep learning techniques, have been developed and applied for tree crown detection from remote sen...

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Bibliographic Details
Main Authors: Kunyong Yu, Zhenbang Hao, Christopher J. Post, Elena A. Mikhailova, Lili Lin, Gejin Zhao, Shangfeng Tian, Jian Liu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
LM algorithm
Mask R-CNN
MCWS algorithm
plantation forest
UAV imagery
Online Access:https://www.mdpi.com/2072-4292/14/2/295

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https://www.mdpi.com/2072-4292/14/2/295

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