Spatial-spectral graph convolutional extreme learning machine for hyperspectral image classification-Reference-Cited by-同舟云学术

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Spatial-spectral graph convolutional extreme learning machine for hyperspectral image classification

Published:2024-02-29 Issue:6 Volume:45 Page:1774-1796
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yu Qing¹,Li Xiangdong¹,Zhang Hongrui¹,Xu Jinhuan¹

Affiliation:

1. Institute of Automation, Qilu University of Technoloy (Shandong Academy of Sciences), Jinan, China

Funder

Key research and development program of Shandong Province

Basic research project of science, education and production integration pilot project

Science and technology program of Jinan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2318771

Reference45 articles.

1. Multinomial logistic regression algorithm

2. BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image

3. Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

4. Composite Kernels for Hyperspectral Image Classification

5. An Extreme Learning Machine Approach to Density Estimation Problems

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