Research on near-ground forage hyperspectral imagery classification based on fusion preprocessing process-Reference-Cited by-同舟云学术

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Research on near-ground forage hyperspectral imagery classification based on fusion preprocessing process

Published:2023-11-12 Issue:2 Volume:16 Page:4707-4725
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Liu Yilei¹,Pan Xin¹,Liu Jiangping¹,Zhang Shengwei²,Yan Weihong³

Affiliation:

1. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People’s Republic of China

2. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, People’s Republic of China

3. Institute of Grassland Research of CAAS, Hohhot, People’s Republic of China

Funder

National Natural Science Foundation of China

Central Public-interest Scientific Institution Basal Research

Technological Achievements of Inner Mongolia Autonomous Region of China

Natural Science Foundation of Inner Mongolia Autonomous Region of China

Scientific and Research Project of Inner Mongolia High School

Inner Mongolia Agricultural University young teachers research ability promotion project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2279671

Reference56 articles.

1. Principal Component Analysis (PCA)–Geographic Information System (GIS) Modeling for Groundwater and Associated Health Risks in Abbottabad, Pakistan

2. ImageNet classification with deep convolutional neural networks

3. Face Recognition Method Based on Residual Convolution Neural Network

4. Grasslands-more important for ecosystem services than you might think

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1. Application of Hyperspectral Imaging and Multi-Module Joint Hierarchical Residual Network in Seed Cotton Foreign Fiber Recognition;Sensors;2024-09-11

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