Particle Swarm Optimization Algorithm for Unmixing Hyperspectral Image

被引:0
|
作者
Maneiro, Mariana [1 ]
Xu XiaoJian [1 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
来源
2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年
关键词
Endmembers Extraction; Hyperspectral Unmixing; Particle Swarm Optimization; Minimum volume simplex;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An end-member extraction method for spectral unmixing that is based on Particle Swarm Optimization (PSO) is developed and presented in this paper. The objective function minimized by PSO is the volume of the simplex containing the hyperspectral vectors, following the geometrical characteristics inherent to the data sets. The proposed algorithm has been successfully applied to synthetic hyperspectral image sets, showing to be very fast and be able to determine a high number of endmembers. The experimental results of the proposed algorithm are encouraging. The performance of different versions of PSO is also investigated.
引用
收藏
页码:897 / 901
页数:5
相关论文
共 50 条
  • [1] A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization
    Luo, Wenfei
    Gao, Lianru
    Plaza, Antonio
    Marinoni, Andrea
    Yang, Bin
    Zhong, Liang
    Gamba, Paolo
    Zhang, Bing
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (12) : 5776 - 5790
  • [2] Constrained Nonnegative Matrix Factorization Based on Particle Swarm Optimization for Hyperspectral Unmixing
    Yang, Bin
    Luo, Wenfei
    Wang, Bin
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (08) : 3693 - 3710
  • [3] Band selection for hyperspectral image classification based on improved particle swarm optimization algorithm
    Li, Chenming
    Wang, Yan
    Gao, Hongmin
    Zhang, Lili
    ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2, 2014, 889-890 : 1073 - 1077
  • [4] Spatial Resolution Enhancement of Hyperspectral Images Using Unmixing and Binary Particle Swarm Optimization
    Erturk, Alp
    Gullu, Mehmet Kemal
    Cesmeci, Davut
    Gercek, Deniz
    Erturk, Sarp
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (12) : 2100 - 2104
  • [5] Multilevel Reweighted Sparse Hyperspectral Unmixing Using Superpixel Segmentation and Particle Swarm Optimization
    Miao, Yapeng
    Yang, Bin
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [6] GPU Implementation of Discrete Particle Swarm Optimization Algorithm for Endmember Extraction From Hyperspectral Image
    Yu, Chaoyin
    Yuan, Zhengwu
    Wu, Yuanfeng
    HIGH-PERFORMANCE COMPUTING IN GEOSCIENCE AND REMOTE SENSING VII, 2017, 10430
  • [7] Supervised Nonlinear Hyperspectral Unmixing With Automatic Shadow Compensation Using Multiswarm Particle Swarm Optimization
    Yang, Bin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [8] Sparse Unmixing for Hyperspectral Imagery via Comprehensive-Learning-Based Particle Swarm Optimization
    Miao, Yapeng
    Yang, Bin
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 9727 - 9742
  • [9] An Improved Particle Swarm Optimization Algorithm for Image Matching
    An Ru
    Chen Chunye
    Wang Huilin
    2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS, 2009, : 7 - +
  • [10] Improved particle swarm optimization algorithm for image segmentation
    Chen Y.
    International Journal of Performability Engineering, 2020, 16 (03) : 482 - 489