基于多种变换的遥感图像新型融合方法  

A New Remote Sensing Image Fusion Algorithm Based on Various Transformations

作　　者：尹继豪[1] 赵占杰[2] 王义松[1] 

机构地区：[1]北京航空航天大学宇航学院,北京100191 [2]中国测绘科学研究院,北京100830

出　　处：《遥感信息》2012年第3期20-26,共7页Remote Sensing Information

基　　金：国家自然科学基金天文联合基金(编号:11078007);教育部博士点基金(编号:20101102120030);航空科学基金(编号:20100151002);航天科技创新基金

摘　　要：针对多光谱图像空间分辨率低这一特点,提出一种在PCA变换基础上,利用小波变换和高通滤波相结合的图像融合算法。实现了ETM+全色波段与ETM+多光谱波段图像的融合,并从空间纹理信息,光谱真实性两个方面进行定性和定量评价。研究表明,该融合算法产生的光谱失真较小,同时很大程度地保持了高分辨率全色波段的空间纹理细节信息,是一种较好的图像融合方法。In this paper,considering the drawback of low spatial resolution of multispectral image,the authors proposed an improved fusion method which is based on PCA transform,wavelet transform and high pass filter.The proposed method fuses the extracted information from the panchromatic image into each band of multispectral image.ETM＋ data is employed to evaluate the performance of the proposed method by using both visual and quantitative criteria.The experiment results have shown that this proposed method can maximally preserve the spectral information in each original band of multispectral image and effectively enhanced its spatial resolution.

关 键 词：PCA变换 小波变换 高通滤波 图像融合 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]