基于二进小波变换的遥感图像融合方法  

Remote sensing image fusion method based on dyadic wavelet transform

作　　者：杨蕾蕾 吐尔洪江·阿布都克力木[1] YANG Leilei;TURGHUNJIAN·Abdukirim(School of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China)

机构地区：[1]新疆师范大学数学科学学院,新疆乌鲁木齐830017

出　　处：《电子设计工程》2022年第1期12-15,共4页Electronic Design Engineering

基　　金：国家自然科学基金资助项目(11261061,61362039,10661010);新疆维吾尔自治区自然科学基金资助项目(2007211104)。

摘　　要：为了提高图像融合质量和融合效率,提出了一种新的遥感图像融合方法。该方法将二进小波变换与HSV变换相结合,将多光谱图像转换到HSV颜色空间,得到色调(H)、饱和度(S)和亮度(V)分量。对亮度分量和全色图像分别进行三层二进小波变换,分解为3个低频图像和多个高频图像,对分解后的图像系数进行相关运算,得到处理后的低频和高频图像。利用改进的融合规则进行低频图像和高频图像的融合,对融合后的图像作相应的逆变换重构。实验结果表明,该方法充分保留了原图像的光谱信息,去除了图像中的噪声,实现了高效的图像融合。除此之外,该方法还降低了融合过程中的计算量。In order to improve the quality and efficiency of fusion image,a new remote sensing image fusion method is proposed.The method combines dyadic wavelet transform with HSV transform.The multispectral image is transformed into HSV color space to obtain the Hue(H)、Saturation(S)and Value(V)components.The luminance component and panchromatic image are decomposed into three low-frequency images and multiple high-frequency images by three-level dyadic wavelet transform,and the processed low-frequency and high-frequency images are obtained by correlation operation of the decomposed image coefficients.What more,the fusion rules fuse the low-frequency image and the high-frequency image separately.The fused image is reconstructed by the corresponding inverse transform.Experimental results demonstrate that most of method completely retains the spectral information of the source image,and removes the noise in the image,and realizes the efficient image fusion.In addition,the method also reduces the amount of computation in the fusion process.

关 键 词：二进小波变换 Log-Gabor能量 导向滤波 遥感图像融合 

分 类 号：TN957.52[电子电信—信号与信息处理]