Practicality and Robustness of Tree Species Identification Using UAV RGB Image and Deep Learning in Temperate Forest in Japan

Practicality and Robustness of Tree Species Identification Using UAV RGB Image and Deep Learning in Temperate Forest in Japan

Identifying tree species from the air has long been desired for forest management. Recently, combination of UAV RGB image and deep learning has shown high performance for tree identification in limited conditions. In this study, we evaluated the practicality and robustness of the tree identification...

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Bibliographic Details
Main Authors: Masanori Onishi, Shuntaro Watanabe, Tadashi Nakashima, Takeshi Ise
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
deep learning
UAV RGB image
tree species identification
Online Access:https://www.mdpi.com/2072-4292/14/7/1710

Internet

https://www.mdpi.com/2072-4292/14/7/1710

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