基于二代曲波变换与清晰度加权的遥感图像融合算法  

A remote sensing image fusion algorithm based on second generation curvelet transform coupled definition weighted model

作　　者：赵建超[1] 俞慧芳 龚茜茹[1] ZHAO Jianchao;YU Huifang;GONG Qianru(School of Electronic Information Engineering,Henan Polytechnic Institute,Nanyang 473009,China;School of Computer Science,Xi'an University of Posts and Telecommunications,Xi’an 250104,China)

机构地区：[1]河南工业职业技术学院,电子信息工程学院,河南南阳473009 [2]西安邮电大学,计算机学院,陕西西安250104

出　　处：《光学技术》2021年第2期244-249,共6页Optical Technique

基　　金：国家自然科学基金项目(61202490);河南省科技攻关计划基金项目(142102210556);河南省高等学校青年骨干教师培养计划子基金项目(2016GGJS-236)。

摘　　要：为了克服遥感图像融合算法主要是利用单一的能量特征对图像信息实施融合,忽略了光谱特征,导致其存在光谱扭曲等缺陷,提出了基于二代曲波变换与清晰度加权的遥感图像融合算法。利用IHS(Intensity,Hue,Saturation)变换对多光谱(MS)图像计算,分割出MS图像的强度(I)成分。利用二代曲波变换(Curvelet)计算出全色(PAN)图像以及I成分的高、低频系数;采用图像的均值特征,对图像的光谱特征进行度量,并联合其区域能量特征,设计了新的融合规则,完成低频系数的融合。利用图像的Laplace特征对图像的清晰度进行计算,以此来构造清晰度加权模型,进行高频系数的融合;将融合系数经二代Curvelet和IHS逆变换处理后,输出融合结果。实验数据表明,较当前遥感图像融合算法而言,所提算法具备更好的融合效果,其融合图像的通用图像质量指数值更大,光谱差异更小。In order to overcome the shortcomings as spectral distortion of fused images induced by only using the single energy feature to fuse image and ignoring the spectral characteristics of images coefficients in many remote sensing image fusion algorithms,a remote sensing image fusion algorithm based on second-generation curved wave transform coupled definition weighted model is proposed.Firstly,the multispectral image is computed by IHS transform,and the intensity components of the multispectral image are segmented.The high and low frequency coefficients of panchromatic image and I component are calculated by second generation curved wave transform.Then,the spectral features of the image are measured by means of the image features,and the regional energy features of the image are combined as the fusion rules of the low frequency coefficients.The definition of the image is calculated by using Laplace feature of the image,and the definition weighted model is constructed by using the calculated results to fuse the high frequency coefficients.Finally,the fusion coefficients are fused by the second generation Curvelet and IHS inverse transformation.The experimental results show that,compared with the current fusion algorithm,the proposed algorithm has higher general image quality index value and lower spectral difference index value,which indicates that the proposed algorithm has better fusion performance.

关 键 词：遥感图像融合 二代曲波变换 IHS变换 均值特征 区域能量特征 清晰度加权 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]