A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network-Reference-Cited by-同舟云学术

A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network

Published:2024 Issue: Volume:17 Page:3471-3488
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Wang Linlong¹^ORCID,Zhang Huaiqing²^ORCID,Lei Kexin²,Yang Tingdong²,Zhang Jing²,Cui Zeyu²,Fu Rurao²,Yu Hongyan³,Zhao Baowei³,Wang Xianyin³

Affiliation:

1. Institute of Forest Resource Information Techniques and Research Institute of Forest Policy and Information, Chinese Academy of Forestry, Beijing, China

2. Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China

3. Qinghai Service Support Center, Qilian Mountain National Park, Qinghai, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10356626.pdf?arnumber=10356626

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