沈阳工业大学学报2011，Vol.33Issue(3)：308-314,7.
基于NSCT和PCA变换域的遥感图像融合算法
Remote sensing image fusion algorithm based on NSCT and PCA transform-domain
摘要
Abstract
In order to preserve possibly the spectral information and enhance synchronously the spatial detail information for the fused image, a novel panchromatic and multispectral image fusion algorithm based on nonsubsampled contourlet transform (NSCT) and principal component analysis (PCA) was proposed. The principal component was obtained by PCA transformation for multispectral image. The NSCT decomposition was performed for the processed principal component and panchromatic image. The fusion strategy combined window with local variance was proposed for the low-frequency band coefficient choice. And the fusion strategy based on regional linear relativity measurement was proposed for the high-frequency band coefficient choice. A fused multispectral image with high spatial quality was obtained through performing inverse NSCT and PCA transforms. The experimental results show that the proposed fusion scheme can improve the comprehensive properties in preserving the spectral information and improving the spatial detail information, and achieve better fusion effect.关键词
遥感图像/图像融合/非下采样Contourlet变换/主成分分析/子带系数选择/融合规则/局部方差/区域线性相关测定Key words
remote sensing image/ image fusion/ nonsubsampled contourlet transform/ principal component analysis/ band coefficient choice/ fusion rule/ local variance/ regional linear relativity measurement分类
信息技术与安全科学引用本文复制引用
孙岩,赵春晖,江凌..基于NSCT和PCA变换域的遥感图像融合算法[J].沈阳工业大学学报,2011,33(3):308-314,7.基金项目
国家自然科学基金资助项目(61077079) （61077079）
哈尔滨市优秀学科带头人基金资助项目(2009RFXXG034). （2009RFXXG034）
