结合IHS与自适应滤波的SFIM影像融合方法  

SFIM Image Fusion Method Combining IHS and Adaptive Filtering

作　　者：唐育林 黄登山 陈抒录 陈朋明 TANG Yu-lin;HUANG Deng-shan;CHEN Shu-lu;CHEN Peng-ming(College of Civil Engineering,Xiangtan University,Xiangtan 411105,China;Survey and Design Institute of Xiangtan City,Xiangtan 411100,China)

机构地区：[1]湘潭大学土木工程学院,湖南湘潭411105 [2]湘潭市勘测设计院,湖南湘潭411100

出　　处：《计算机与现代化》2023年第9期70-76,共7页Computer and Modernization

基　　金：湖南省自然科学基金资助项目(14JJ7039)。

摘　　要：SFIM是一种常用的全色-多光谱融合算法,具有较好的光谱注入能力,但空间信息融入质量较差,其原因在于理想的低分辨率全色影像不易获取。针对SFIM的不足,提出一种结合IHS和高斯滤波的SFIM模型。该方法使用自适应性线性组合获取多光谱影像的I分量,以调整后最佳I分量的平均梯度为标准,对下采样后全色影像做高斯滤波处理,确定理想的低分辨率全色影像,最后将多光谱影像和低分辨率全色影像上采样至与全色影像同样大小,进行SFIM变换得到融合结果。在高分二号(GF-2)和资源三号01(ZY3-1)数据上开展试验,与已有的5种融合算法进行对比分析,实验结果表明该算法较好地克服了IHS和SFIM的缺陷,在定性和定量分析方面均表现较优,具有更好的光谱保持度,注入的空间细节信息更为详细,有效提高了融合影像细节信息质量。本文方法为全色-多光谱影像融合研究提供了有用的参考。SFIM is a commonly used panchromatic-multispectral fusion algorithm with good spectral injection capability,but the poor quality of spatial information incorporation is due to the poor acquisition of ideal low-resolution panchromatic images.Aiming at the shortcomings of SFIM,a SFIM model combining IHS and Gaussian filtering is proposed.The method uses an adap⁃tive linear combination to obtain the I-Component of the multispectral image.Then,with the average gradient of the best ad⁃justed I-component as the standard,the ideal low-resolution panchromatic image is determined by Gaussian filtering of the downsampled panchromatic image.Finally,the multispectral image and the low-resolution panchromatic image are upsampled to the same size as the panchromatic image,and the SFIM transform is performed to obtain the fusion results.The experiments are carried out on the data of GF-2 and ZY3-1.The experimental results show that the algorithm better overcomes the shortcomings of IHS and SFIM and better performs in both qualitative and quantitative analysis.It has better spectral retention and injects more detailed spatial detail information,which effectively improves the quality of fused image detail information.This experiment can provide a useful value reference for the study of panchromatic-multispectral image fusion.

关 键 词：影像融合 SFIM ISH 高斯滤波 平均梯度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]