基于快速离散曲波变换的TH-1卫星影像融合方法  

A fusion method for TH-1images based on fast discrete curvelet transforms

作　　者：朱倩[1] 李霞[1] 

机构地区：[1]长安大学地球科学与资源学院,陕西西安710054

出　　处：《中国科学技术大学学报》2013年第8期639-644,共6页JUSTC

基　　金：国家自然科学基金(41101445)资助

摘　　要：针对TH-1部分影像存在较大噪声的问题,提出一种基于快速离散曲波变换(fast discretecurvelet transforms,FDCT)的卫星影像融合方法.在融合处理过程中,对于FDCT分解出的低频系数子带采用加权平均算法,噪声较少的次高频子带采用最大区域边缘信息度量算法,噪声较为集中的最高频子带采用最大值替换算法.融合后的影像在常用影像质量评价指标统计值和去噪评价指标统计值两方面均显示,该方法的融合效果相对传统方法优势明显.As some TH-1 images have the problem of big noise, a fusion method for TH-1 images based on FDCT was proposed. During the fusion processing, the sub band of low frequency was processed by the weighted average algorithm; the sub-band of middle frequency, which has lower noise, was processed by the biggest region edge detection algorithm; the sub-band of the highest frequency, which has more intensive noise, was processed by the maximum substitution algorithm. The proposed method clearly outperforms traditional fusion methods in common image evaluation indicators and noise reduction evaluation indicators.

关 键 词：TH-1 快速离散曲波变换 去噪 影像融合 影像评价 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置] P627[自动化与计算机技术—控制科学与工程]