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粒子群优化Contourlet变换的遥感影像融合算法研究
引用本文:赵学军,雷书彧,滕尚志. 粒子群优化Contourlet变换的遥感影像融合算法研究[J]. 北京邮电大学学报, 2015, 38(2): 118-121. DOI: 10.13190/j.jbupt.2015.02.022
作者姓名:赵学军  雷书彧  滕尚志
作者单位:中国矿业大学 机电与信息工程学院, 北京 100083
基金项目:国家高技术研究发展计划项目(1212011120222)
摘    要:Contourlet变换能有效地应用在图像增强领域,基于Contourlet变换的遥感影像融合算法常采用高频低频替换和频域线性加权两种融合方法,因此,通过粒子群优化算法对基于Contourlet变换分解不同子带图像所需的不同加权系数进行优化,采用多元回归分析方法设定目标函数,实现了全色影像与多光谱影像的融合,与传统的Contourlet变换、PCA算法、高通滤波遥感影像融合算法相比较,新方法在提高影像清晰度的同时在光谱保真度方面相对于其他算法有明显优势.

关 键 词:粒子群  Contourlet变换  遥感影像  图像融合  
收稿时间:2014-09-28

Particle Swarm Optimization Contourlet Transform of Remote Sensing Image Fusion Algorithm Research
ZHAO Xue-jun,LEI Shu-yu,TENG Shang-zhi. Particle Swarm Optimization Contourlet Transform of Remote Sensing Image Fusion Algorithm Research[J]. Journal of Beijing University of Posts and Telecommunications, 2015, 38(2): 118-121. DOI: 10.13190/j.jbupt.2015.02.022
Authors:ZHAO Xue-jun  LEI Shu-yu  TENG Shang-zhi
Affiliation:School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China
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.
Keywords:particle swarm  Contourlet transform  remote sensing image  the image fusion
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