| 遥感图像像素级融合算法比较 |
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| 引用本文： | 郑秀明,刘文锴.遥感图像像素级融合算法比较[J].地理空间信息,2010,8(5):97-99. |
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| 作者姓名： | 郑秀明 刘文锴 |
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| 作者单位： | 1. 河南理工大学,测绘与国土信息工程学院,河南,焦作,454000
2. 焦作师范高等专科学校,河南,焦作,454000 |
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| 基金项目： | 河南省重点科技攻关资助项目 |
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| 摘 要： | 详细介绍了像素级图像融合的原理以及方法,着重分析了目前常用的像素级图像融合的方法,通过实验分析了各种不同融合方法的优缺点,详细的说明了PCA变换、HIS变换、加权平均方法的优缺点,证明了PCA变换是一种应用比较广泛的融合方法。
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| 关 键 词： | 图像融合 PCA变换 HIS变换 加权平均 遥感图像 |
Comparison of Pixel-level Remote Sensing Image Fusion Algorithm |
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| ZHENG Xiuming,LIU Wenkai.Comparison of Pixel-level Remote Sensing Image Fusion Algorithm[J].Geospatial Information,2010,8(5):97-99. |
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| Authors: | ZHENG Xiuming LIU Wenkai |
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| Institution: | 1.School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000,China;2. Jiaozuo Teachers College,Jiaozuo 454000,China) |
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| Abstract: | This paper detailedly introduced the Principle and method of Pixel-level Image Fusion, analyzed empha-tically the common method of Pixel-level Image Fusion, analyzed the advantages and disadvantages of different methods through the experiment, detailedly explained the advantages and disadvantages of PCA transform, HIS transform, weighted average, proves PCA transform is a widely used method. |
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| Keywords: | image fusion PCA transform HIS transform weighted average remote sensing image |
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