Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1246-1249,1274

Fuzzy clustering based on hierarchical bipartite graph for large scale hyperspectral image

Liu Yijun
Long Jintao
Yang Xiaojun
College of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0407

Abstract

Traditional fuzzy clustering algorithm is very sensitive to the initial clustering center and has poor processing effect on hyperspectral image. To address this problem, this paper proposed a hyperspectral fuzzy clustering algorithm based on multilayer bipartite graph to reduce the complexity of clustering data and the computational cost of clustering process. Firstly, this paper used SuperPCA preprocessing method to perform PCA on each homogeneous region obtained by super pixel segmentation to learn the inherent low-dimensional characteristics of different regions of HSI data, so as to obtain the low-dimensional representation of hyperspectral data. Then, this paper constructed a hierarchical bipartite graph matrix to describe the relationship between data points and anchor points, which reduced the computational complexity. At last, this paper constrained the solution space of the fuzzy membership matrix by adding the nonnegative regularization term based on hierarchical bipartite graph to fuzzy clustering. Experiments on Indian Pines and Pavia University datasets show that the proposed algorithm can improve the clustering effect and performance.

Foundation Support

广东省重点领域研发计划资助项目(2018B010115001)
广东省自然科学基金资助项目(2021A1515011141)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0407
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Technology of Graphic & Image
Pages: 1246-1249,1274
Serial Number: 1001-3695(2023)04-046-1246-04

Publish History

[2022-10-27] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

刘怡俊, 龙锦涛, 杨晓君. 基于多层二部图的高光谱模糊聚类算法 [J]. 计算机应用研究, 2023, 40 (4): 1246-1249,1274. (Liu Yijun, Long Jintao, Yang Xiaojun. Fuzzy clustering based on hierarchical bipartite graph for large scale hyperspectral image [J]. Application Research of Computers, 2023, 40 (4): 1246-1249,1274. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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