The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation-Reference-Cited by-同舟云学术

The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

Published:2023-09-18 Issue:1 Volume:16 Page:3753-3771
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Hao Zhenbang¹,Lin Lili²,Post Christopher J.³,Mikhailova Elena A.³,Yu Kunyong⁴,Fang Huirong¹,Liu Jian⁴

Affiliation:

1. Zhangzhou Institute of Technology, Zhangzhou, People’s Republic of China

2. College of Biological Science and Biotechnology, Minnan Normal University, Zhangzhou, People’s Republic of China

3. Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USA

4. University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province, Fuzhou, People’s Republic of China

Funder

Natural Science Foundation of Fujian Province, China

Education and Research Project for Youth Scholars of Education Department of Fujian Province, China

Scientific Research Foundation of Minnan Normal University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2257636

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4. Automatic Delineation and Height Measurement of Regenerating Conifer Crowns under Leaf-Off Conditions Using UAV Imagery

5. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation;Chen L.;In Proceedings of the European Conference on Computer Vision (ECCV),,2018

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