| Investigation of Image Fusion Between High—Resolution Image and Multi—Spectral Image |
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| 作者姓名： | LlPingxiang WANGZhijun |
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| 作者单位： | professor.StateKeyLaboraloryofInfomationEnglneeringinSurveying,MappingandRemoteSensing,WuhanUniversity,129LuoyuRoad,Wu-hen430079,China |
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| 基金项目： | ProjectsupportedbytheNationalNaturalScienceFoundationofChina (No .40 0 2 30 0 4 ) . |
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| 摘 要： | On the basis of a thorough understanding of the physical characteristics of remote sensing image,this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm.The algorithm has been successfully applied to the image fusion of SPOT PAN and TM of Guangdong province, China The experimental results show that a perfect image fusion can be built up by using the image analytical solution and reconstruction in the image frequency domain based on the physical characteristics of the image formation.The method has demonstrated that the results of the image fusion do not change spectral characteristics of the original image.
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| 关 键 词： | 遥感图像 图像融合 小波变换 信号取样 运算法则 人造卫星定位 光谱特征 |
Investigation of image fusion between high-resolution image and multi-spectral image |
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| LlPingxiang WANGZhijun.Investigation of image fusion between high-resolution image and multi-spectral image[J].Geo-Spatial Information Science,2003,6(2):31-34. |
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| Authors: | Email author" target="_blank">Li?PingxiangEmail author Wang?Zhijun |
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| Institution: | (1) State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China |
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| Abstract: | On the basis of a thorough understanding of the physical characteristics of remote sensing image, this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm. The algorithm has been successfully applied to the image fusion of SPOT PAN and TM of Guangdong province, China. The experimental results show that a perfect image fusion can be built up by using the image analytical solution and re-construction in the image frequency domain based on the physical characteristics of the image formation. The method has demonstrated that the results of the image fusion do not change spectral characteristics of the original image. |
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| Keywords: | image fusion remote sensing wavelet transform signal sampling |
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