A comparative study of the performances of joint RFE with machine learning algorithms for extracting Moso bamboo ( <i>Phyllostachys pubescens</i> ) forest based on UAV hyperspectral images-Reference-Cited by-同舟云学术

A comparative study of the performances of joint RFE with machine learning algorithms for extracting Moso bamboo ( Phyllostachys pubescens ) forest based on UAV hyperspectral images

Published:2023-06-16 Issue:1 Volume:38 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Li Yi-fan¹,Xu Zhang-hua¹²,Hao Zhen-bang²³,Yao Xiong²⁴,Zhang Qi⁵,Huang Xu-ying¹⁶,Li Bin¹,He An-qi¹,Li Zeng-lu²⁷,Guo Xiao-yu²

Affiliation:

1. College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, China

2. Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization, Sanming, China

3. College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China

4. College of Architecture and Planning, Fujian University of Technology, Fuzhou, China

5. Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, China

6. International Institute for Earth System Science, Nanjing University, Nanjing, China

7. SEGi University, Kota Damansara, Malaysia

Funder

National Natural Science Foundation of China

Fujian Province Natural Science Foundation Project

China Postdoctoral Science Foundation

Open Fund of Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization

Open Fund of University Key Lab of Geomatics Technology and Optimize Resources Utilization in Fujian Province

Research Project of Jinjiang Fuda Science and Education Park Development Center

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2207550

Reference77 articles.

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4. Sea Salt Aerosol Identification Based on Multispectral Optical Properties and Its Impact on Radiative Forcing over the Ocean

5. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

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