基于比值变换的全色与多光谱图像高保真融合方法  

High Fidelity Panchromatic and Multispectral Image Fusion Based on Ratio Transform

作　　者：徐其志[1] 高峰 

机构地区：[1]北京航空航天大学计算机学院数字媒体北京市重点实验室,北京100191

出　　处：《计算机科学》2014年第10期19-22,共4页Computer Science

基　　金：国家重点基础研究发展计划项目(2010CB327900);国家杰出青年科学基金项目(61125206)资助

摘　　要：随着遥感技术的快速发展,越来越多的成像卫星可采集同时相的全色和多光谱图像。通常,多光谱图像的分辨率低于全色图像,但实际应用中人们更迫切需要提升多光谱图像的分辨率。当前,研究人员已提出了大量的图像融合方法来解决这个问题,但依然存在光谱失真、细节模糊等问题。此外,真实遥感图像的尺寸较大,现有融合方法难以满足实际应用的高时效要求。为此,提出了基于比值变换的全色与多光谱图像高保真融合方法。根据全色与多光谱图像分辨率之比,该方法对全色图像先下采样,再上采样,生成全色降质图像;同时,对多光谱图像进行上采样,得到多光谱降质图像;然后,计算全色与其降质图像的比值,将多光谱降质图像乘以该比值生成融合图像。实验表明,本方法的保真效果好,性能优于对比方法。With the rapid development of remote sensing technology, more and more satellites can simultaneously acquire both panchromatic （PAN） and multispectral （MS） imagery. In general, spatial resolution of the MS imagery is relatively lower than that of PAN imagery. However, MS imagery with high spatial resolution is more desirable in application. Although various image fusion algorithms have been developed to pansharpen MS imagery, there are still some problems regarding spectral and spatial distortion. In addition, clue to large size of remote sensing imagery product, running times of existing fusion methods are hard to match user＇s expectation. To solve these problems, a high fidelity fusion method based on ratio transform was proposed to fuse PAN and MS imagery. In this method, a degraded image is generated by down-sampling and up-sampling of PAN image, while a MS image is up-sampled by bilinear interpolation. Then, fused image is obtained by multiplying the up-sampled to a ratio between the PAN image and its degraded version. Experimental results show that the proposed method has better spatial and spectral fidelity performance than compared methods.

关 键 词：图像融合 全色锐化 图像增强 比值变换 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]