Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization-Reference-Cited by-同舟云学术

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Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization

Published:2024-04 Issue:2 Volume:8 Page:1922-1937
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Li Hao¹^ORCID,Li Dezhong¹^ORCID,Gong Maoguo¹^ORCID,Li Jianzhao¹^ORCID,Qin A. K.²^ORCID,Xing Lining¹^ORCID,Xie Fei³^ORCID

Affiliation:

1. School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi'an, China

2. Department of Computing Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia

3. School of Academy of Advanced Interdisciplinary Research (AOAIR), Xidian University, Xi'an, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Australian Research Council

National Key R&D program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10480102/10432946.pdf?arnumber=10432946

Reference46 articles.

1. Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification

2. Change Detection in Landsat Images Using Unsupervised Learning and RBF-Based Clustering

3. Spectral–Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing

4. Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

5. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Objective Automatic Clustering Algorithm Based on Evolutionary Multi-Tasking Optimization;Electronics;2024-05-19

2. Evolutionary Competition Multitasking Optimization with Online Resource Allocation for Endmemeber Extraction of Hyperspectral Images;Electronics;2024-04-10

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