基于区域小波统计特征的遥感图像融合方法  

Remote Sensing Image Fusion Method Based on Regional Wavelet Statistical Features

作　　者：曾宇燕[1] 何建农[1] 

机构地区：[1]福州大学数学与计算机科学学院数学系,福州350002

出　　处：《计算机工程》2011年第19期198-200,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(50877010);福建省新世纪优秀人才支持计划基金资助项目(XSJRC2007-11)

摘　　要：提出一种基于区域小波统计特征的遥感图像融合方法,对多光谱图像的I分量与直方图匹配后的高分辨率图像进行小波变换融合。对分解后的低频分量采用加权平均的融合规则,高频分量则根据其区域的小波系数特征,采用基于区域方差匹配度的融合规则。对SPOT多光谱图像和高分辨率图像进行融合实验,并利用信息熵和相关系数对融合结果进行客观评价与比较分析。仿真实验结果表明,基于区域小波统计特征的融合方法能达到较好的融合效果。This paper proposes a remote sensing image fusion method based on regional wavelet statistical features.Wavelet decomposition is done between the I-component of multi-spectrum image and the high-resolution image after histogram-matching.For the low frequency component,this method uses a fusion rule of weighted average.And for the high frequency component,it uses regional variance-matching based on regional wavelet coefficient characteristics.The fusion experiment is carried out by the SPOT multi-spectrum image and high-resolution image.Entropy and correlation coefficient are used to judge and analyze the fusion results objectively.Simulation experimental results show that the proposed method can achieve better fusion effect.

关 键 词：直方图匹配 小波变换 区域特征 方差匹配度 图像融合 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]