%0 Journal Article
%A LEI Shu-yu
%A TENG Shang-zhi
%A ZHAO Xue-jun
%T Particle Swarm Optimization Contourlet Transform of Remote Sensing Image Fusion Algorithm Research
%D 2015
%R 10.13190/j.jbupt.2015.02.022
%J Journal of Beijing University of Posts and Telecommunications
%P 118-121
%V 38
%N 2
%X <p>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.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.02.022