光谱与空间局部相关的SVR影像融合方法

针对合成变量比（synthetic variable ratio，SVR）融合方法可能存在的颜色偏差问题，提出一种基于光谱与空间相关的遥感影像融合方法。该方法利用全色影像与多光谱影像的光谱与空间相关特性，采用局部优化策略模拟全色波段，能够有效地减少融合影像的光谱扭曲。选择WorldView-2等卫星的全色和多光谱影像进行融合试验，采用目视和量化指标进行评价，并与现有流行算法进行对比，验证了本文方法的优越性。...

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Bibliographic Details
Published in测绘学报 Vol. 42; no. 4; pp. 508 - 515
Main Author 王慧贤 江万寿 雷呈强 张一鸣
Format Journal Article
LanguageChinese
Published 武汉大学测绘遥感信息工程国家重点实验室,湖北武汉,430079%军械工程学院电子与光学工程系,河北石家庄,050003%北京市遥感信息研究所,北京,100192 2013
Subjects
SVR
光谱与空间相关
光谱扭曲
局部处理
影像融合
局部处理
光谱扭曲
spectral distortion
image fusion
local process
影像融合
光谱与空间相关
spectral and spatial correlation
SVR
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ISSN1001-1595

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Summary:针对合成变量比（synthetic variable ratio，SVR）融合方法可能存在的颜色偏差问题，提出一种基于光谱与空间相关的遥感影像融合方法。该方法利用全色影像与多光谱影像的光谱与空间相关特性，采用局部优化策略模拟全色波段，能够有效地减少融合影像的光谱扭曲。选择WorldView-2等卫星的全色和多光谱影像进行融合试验，采用目视和量化指标进行评价，并与现有流行算法进行对比，验证了本文方法的优越性。
Bibliography:To solve the potential color distortion problem of SVR （synthetic variable ratio） method, an improved fusion method based on local spectral and spatial correlation is proposed. The proposed method uses spectral and spatial correlation characteristics and local optimization strategy to simulate panchromatic image, which can effectively reduce the spectral distortion of fused image. To assess the quality of the proposed method, several satellite images such as WorldView-2 panchromatic and multispectral images were used. Comparing with some existed popular techniques, visual and quantitative analysis proved that the proposed method can significantly improve the fusion quality.
11-2089/P
WANG Huixian , JIANG Wanshou, LEI Chengqiang, ZHANG Yiming 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Chinas2. Electronic and Optical engineering department, Mechanical Engineering College, Shijiazhuang050003, Chinas3. Institute of Information in Remo
ISSN:1001-1595