Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (2): 118-121.doi: 10.13190/j.jbupt.2015.02.022

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Particle Swarm Optimization Contourlet Transform of Remote Sensing Image Fusion Algorithm Research

ZHAO Xue-jun, LEI Shu-yu, TENG Shang-zhi   

  1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China
  • Received:2014-09-28 Online:2015-04-28 Published:2015-05-14

Abstract:

As a result of Contourlet transform can be effectively applied in the field of image enhancement, the characteristics of Contourlet transform in image fusion algorithm has been widely attention. Remote sensing image fusion algorithm based on Contourlet transform always utilize frequency domain linear weighted and swap high frequency to low frequency. By particle swarm optimization algorithm,the different weighting coefficients of different sub-band image by Contourlet transform is optimization. Using multivariate analysis method to set the objective function realizes the panchromatic image and multispectral image fusion. Compared with traditional Contourlet transform, (principal component analysis) algorithm, high-pass filter for remote sensing image fusion algorithm,the new algorithm with improving the definition of image have obvious advantages in terms of spectral fidelity than other methods.

Key words: particle swarm, Contourlet transform, remote sensing image, the image fusion

CLC Number: