| 区域特征动态加权的IHS小波遥感图像融合 |
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| 引用本文： | 刘成云,常发亮,刘春生,尹秉坤.区域特征动态加权的IHS小波遥感图像融合[J].计算机工程,2012,38(8):198-200. |
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| 作者姓名： | 刘成云 常发亮 刘春生 尹秉坤 |
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| 作者单位： | 1. 山东大学控制科学与工程学院,济南,250061
2. 深圳市南山区科技园数字技术园,广东深圳,518057 |
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| 基金项目： | 国家自然科学基金资助项目(60975025);教育部博士点专项基金资助项目(20090131120039);中国博士后科学基金资助特别项目(200902563) |
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| 摘 要： | 研究传统的IHS变换、小波变换和两者结合的图像融合方法，提出一种区域多元特征动态加权的IHS小波遥感图像融合算法。结合IHS变换和小波变换的优点，对匹配后的新全色分量和IHS变换后多光谱图像的亮度分量，采用多元特征动态加权法进行小波融合。实验结果表明，与传统融合算法相比，该算法在空间细节增强和光谱信息保持方面性能较优。
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| 关 键 词： | 遥感图像融合 IHS变换 小波变换 区域特征 融合规则 动态加权 |
| 收稿时间： | 2011-05-25 |
IHS Wavelet Remote Sensing Image Fusion with Dynamic Weighting of Regional Feature |
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| LIU Cheng-yun
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CHANG Fa-liang
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LIU Chun-sheng
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YIN Bing-kun.IHS Wavelet Remote Sensing Image Fusion with Dynamic Weighting of Regional Feature[J].Computer Engineering,2012,38(8):198-200. |
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| Authors: | LIU Cheng-yun CHANG Fa-liang LIU Chun-sheng YIN Bing-kun |
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| Affiliation: | 1.School of Control Science and Engineering,Shandong University,Jinan 250061,China;2.Digital Technology Park,Science and Technology Park of Nanshan District of Shenzhen,Shenzhen 518057,China) |
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| Abstract: | This paper researches classical HIS transformation,wavelet transformation and fusion method,and proposes a new method for HIS wavelet remote sensing image fusion method with dynamic weighting of regional multi-feature.It combines the advantages of the IHS transform and wavelet transform to achieve a better fusion result,which comes from new full-color components after matching and brightness component of multispectral image after IHS transformation.Experimental results indicate that the proposed method has apparent advantage in reservation of spectral information and spatial details enhancement than other methods. |
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| Keywords: | remote sensing image fusion IHS transformation wavelet transformation regional feature fusion rule dynamic weighting |
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