Tree Species Identification Based on FCN Using the Visible Images Obtained from an Unmanned Aerial Vehicle-Reference-Cited by-同舟云学术

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Tree Species Identification Based on FCN Using the Visible Images Obtained from an Unmanned Aerial Vehicle

Published:2020 Issue:10 Volume:57 Page:101001
ISSN:1006-4125
Container-title:Laser & Optoelectronics Progress
language:en
Short-container-title:激光与光电子学进展

Author:

Dai Pengqin 戴鹏钦,Ding Lixia 丁丽霞,Liu Lijuan 刘丽娟,Dong Luofan 董落凡,Huang Yiting 黄依婷

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Urban Vegetation Classification for Unmanned Aerial Vehicle Remote Sensing Combining Feature Engineering and Improved DeepLabV3+;Forests;2024-02-18

2. Identification of Tree Species in Forest Communities at Different Altitudes Based on Multi-Source Aerial Remote Sensing Data;Applied Sciences;2023-04-13

3. 融合注意力和残差网络的无人机影像树种识别;Laser & Optoelectronics Progress;2023

4. UAV Recognition and Tracking Method Based on YOLOv5;2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA);2022-12-16

5. 基于多任务监督学习的实时室内布局估计方法;Laser & Optoelectronics Progress;2021

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