摘要
为了使融合后的多光谱图像在尽可能保持原始多光谱图像光谱特性的同时,显著提高空间分辨力,提出了一种基于非采样Contourlet变换(NSCT)的遥感图像融合算法。算法首先对全色波段图像进行非采样Contourlet变换,得到全色波段图像的低频子带系数和各带通方向子带系数;然后针对多光谱图像的每一个波段,将其进行双线性插值后作为融合后多光谱图像的低频子带系数,对全色波段图像的各带通方向子带系数采用基于成像系统物理特性的注入模型(调整系数)进行局部调整后,作为融合后多光谱图像的各带通方向子带系数,从而得到融合后多光谱图像的非采样Contourlet变换系数;最后再经非采样Contourlet逆变换得到该波段具有高空间分辨力的多光谱图像。采用IKONOS卫星遥感图像进行了仿真实验,实验结果表明,该算法在光谱保留和空间质量提高方面优于其它传统的遥感图像融合算法。
In order to make the fused multispectral （Ms） images keep the spectrum of the original multispectral images as much as possible and improve the spatial resolution effectively, a novel algorithm for remote sensing image fusion based on the nonsubsampled contourlet transform （NSCT） is proposed. Firstly, the panchromatic （Pan） image is decomposed by the NSCT to obtain the detail information of the Pan image. Secondly, the low frequency subband coefficients of the NSCT are substituted by the band to be fused of the resampled multispectral image and the bandpass directional coefficients of the NSCT are locally adjusted by employing an injection model, in which some physical characteristics of imaging systems are included, and then the NSCT coefficients of the fused multispectral image are attained. Lastly, the fused multispectral image with high spatial resolution is obtained by performing the inverse NSCT on the attained coefficients. Several sets of IKONOS images have been merged by the proposed algorithm. The experimental results demonstrate that the proposed approach outperforms the other traditional methods in the spectral information preservation and in the spatial resolution improvement.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2008年第1期74-80,共7页
Acta Optica Sinica
基金
国家自然科学基金(60572152)
国家863计划(2006AA01Z127)资助课题
作者简介
张强（1979-），男，山东枣庄人，讲师，博士研究生，主要从事图像的多尺度几何分析及其在图像融合中的应用方面的研究。E-mail：zhangqiang134@163．com
导师简介：郭宝龙（1962-），男，陕西人，教授，博士生导师，主要从事图像处理和图像通信、神经网络与模式识别、智能信息处理等方面的研究。E-mail：blguo1199@163．com
