一种基于SVR的简易融合算法  

A Simplified Fusion Method Based on Synthetic Variable Ratio

作　　者：庞新华[1] 潘耀忠[1] 朱文泉[1] 顾晓鹤[1] 杨伟[1] 

机构地区：[1]北京师范大学资源学院,地表过程与资源生态国家重点实验室,北京100875

出　　处：《遥感信息》2008年第3期45-49,共5页Remote Sensing Information

基　　金：国家自然科学基金项目(批准号:40371001);教育部新世纪人才项目;北京师范大学青年基金项目资助

摘　　要：基于SVR(Synthetic Variable Ratio,合成变量比)融合方法,本文提出了一种SSVR(Simplified Synthetic Variable Ratio,简易合成变量比)融合方法。SSVR的核心是融合采用Radiance(辐射亮度)而不是DN值,低分辨率多光谱模拟的全色波段能量用高分辨率全色波段的能量替代。以Landsat 7 ETM+数据为例,采用PCA(主成分分析)、Multiplicative(乘积方法)、Brovey Transform(比值方法)I、SVR、SSVR 5种方法进行遥感影像融合,对比结果表明SSVR融合方法在提高原始多光谱影像分辨率的基础上,很好地保持了多光谱信息,该方法简单易行,提高了遥感数据的可利用性。A Simple Synthetic Variable Ratio （SSVR） fusion method is presented to merge high spatial resolution panchromatic （Pan） image and high spectral resolution multispectral （MS） images based on a simulation of the panchromatic image from the multispectral bands. Landsat7 ETM＋ images were used to assess the effectiveness of classification-oriented SSVR method in comparison to Principal Component, multiplicative, Brovey transform and ISVR methods. Compared to other fusion methods, the images generated by SSVR method have more information and high spatial resolution while maintaining the basic spectral characteristic of the original multispectral image, and SSVR method is simpler to carry out than other SVR methods.

关 键 词：遥感 数据融合 SSVR 多源影像数据 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]