Earticle

초록

영어

With the development of spectral imaging technology, it makes hyperspectral imagery widely used. According to the features of multiple bands and the strong mutual correlation among these bands, this paper presents a band selection method for hyperspectral imagery classification based on improved PSO (Particle Swarm Optimization). First of all, we use information divergence to describe the correlation of the bands, then build the information divergence matrix to make the classification of subspaces. Secondly, we construct the fitness function of the algorithm with the band information and categories of the Bhattacharyya distance (B distance) to improve the inertia weight updating method in PSO. Finally, based on the AVIRIS hyperspectral imagery and compared with existing method to conduct experiments, the average classification accuracy of the proposed method is 81.36%, which is distinctly improved 0.91% compared with the existed method. Meanwhile, the proposed method has a significantly faster convergence speed during the process of the band selection. Therefore, the experimental results verify the effectiveness of the proposed method in this paper.

목차

Abstract
 1. Introduction
 2. Method
  2.1. Information Divergence Matrix Calculation
  2.2. Subspace Classification Method based on Information Divergence
  2.3. Band Selection Method based on Improved PSO
 3. Experiment and Results
  3.1. Results of Subspace Division
  3.2. Results of Band Selection and Classification
 4. Conclusion
 References

키워드

저자

• Jie Shen [ College of Computer and Information Engineering, HoHai University, Jiangsu Nanjing 210098, China, College of communication engineering,PLA University of Science and Technology, Jiangsu Nanjing 210098, China ]
• Chao Wang [ College of Computer and Information Engineering, HoHai University, Jiangsu Nanjing 210098, China ]
• Ruili Wang [ School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand ]
• Fengchen Huang [ College of Computer and Information Engineering, HoHai University, Jiangsu Nanjing 210098, China ]
• Chao Fan [ College of Computer and Information Engineering, HoHai University, Jiangsu Nanjing 210098, China, 7220 mailbox Beijing, China ]
• Lizhong Xu [ College of Computer and Information Engineering, HoHai University, Jiangsu Nanjing 210098, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605