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Article

Double-Group Particle Swarm Optimization and Its Application in Remote Sensing Image Segmentation

College of Electronic Science, National University of Defense Technology, Changsha 410000, China
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Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1393; https://doi.org/10.3390/s18051393
Received: 16 March 2018 / Revised: 26 April 2018 / Accepted: 27 April 2018 / Published: 1 May 2018
(This article belongs to the Section Remote Sensors)
Particle Swarm Optimization (PSO) is a well-known meta-heuristic. It has been widely used in both research and engineering fields. However, the original PSO generally suffers from premature convergence, especially in multimodal problems. In this paper, we propose a double-group PSO (DG-PSO) algorithm to improve the performance. DG-PSO uses a double-group based evolution framework. The individuals are divided into two groups: an advantaged group and a disadvantaged group. The advantaged group works according to the original PSO, while two new strategies are developed for the disadvantaged group. The proposed algorithm is firstly evaluated by comparing it with the other five popular PSO variants and two state-of-the-art meta-heuristics on various benchmark functions. The results demonstrate that DG-PSO shows a remarkable performance in terms of accuracy and stability. Then, we apply DG-PSO to multilevel thresholding for remote sensing image segmentation. The results show that the proposed algorithm outperforms five other popular algorithms in meta-heuristic-based multilevel thresholding, which verifies the effectiveness of the proposed algorithm. View Full-Text
Keywords: particle swarm optimization; multilevel thresholding; remote sensing image segmentation; meta-heuristic; swarm intelligence particle swarm optimization; multilevel thresholding; remote sensing image segmentation; meta-heuristic; swarm intelligence
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MDPI and ACS Style

Shen, L.; Huang, X.; Fan, C. Double-Group Particle Swarm Optimization and Its Application in Remote Sensing Image Segmentation. Sensors 2018, 18, 1393. https://doi.org/10.3390/s18051393

AMA Style

Shen L, Huang X, Fan C. Double-Group Particle Swarm Optimization and Its Application in Remote Sensing Image Segmentation. Sensors. 2018; 18(5):1393. https://doi.org/10.3390/s18051393

Chicago/Turabian Style

Shen, Liang; Huang, Xiaotao; Fan, Chongyi. 2018. "Double-Group Particle Swarm Optimization and Its Application in Remote Sensing Image Segmentation" Sensors 18, no. 5: 1393. https://doi.org/10.3390/s18051393

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