Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210009(2022)

Hyperspectral Fast Spectral Clustering Algorithm Based on Multi-Layer Bipartite Graph

Siyuan Li1, Zhiyuan Zheng2, Xiaoyan Du3, Tong Liu1、*, and Xiaojun Yang1
Author Affiliations
  • 1College of Information Engineering, Guangdong University of Technology, Guangzhou 510006, Guangdong , China
  • 2Rocket Force University of Engineering, Chinese People’s Liberation Army, Xi’an 710025, Shaanxi , China
  • 3Chinese People’s Liberation Army 96962 Troops, Beijing 102206, China
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    References(14)

    [5] Fu Q, Guo C, Luo W L. A hyperspectral image classification method based on spectral-spatial features[J]. Laser & Optoelectronics Progress, 57, 202803(2020).

    [6] Zhang M H, Zou Y Q, Song W et al. GGCN: GPU-based hyperspectral image classification algorithm[J]. Laser & Optoelectronics Progress, 57, 201101(2020).

    [7] Chang X J, Nie F P, Ma Z G et al. A convex formulation for spectral shrunk clustering[C], 2532-2538(2015).

    [11] Xu Y X, Yang X J, Cai Y D et al. Hyperspectral fast clustering algorithm based on binary tree anchor points[J]. Laser & Optoelectronics Progress, 58, 0210021(2021).

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    Siyuan Li, Zhiyuan Zheng, Xiaoyan Du, Tong Liu, Xiaojun Yang. Hyperspectral Fast Spectral Clustering Algorithm Based on Multi-Layer Bipartite Graph[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210009

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    Paper Information

    Category: Image Processing

    Received: Apr. 22, 2021

    Accepted: Jun. 11, 2021

    Published Online: May. 23, 2022

    The Author Email: Tong Liu (liutong@gdut.edu.cn)

    DOI:10.3788/LOP202259.1210009

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