基于成像系统特点的多光谱图像融合

Jinling Wang, K. Song, Xiaojun He
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引用次数: 14

摘要

为了提高多光谱与全色图像融合的图像量,本文提出了一种基于成像系统特点的多光谱图像融合算法。该算法首先采用非子样本contourlet变换对多光谱和全色图像进行多分辨率分解,然后通过详细分析多光谱图像的成像系统特征,建立全色图像注入模型,通过该模型将全色图像的细节信息注入到多光谱图像的各个光谱中。最后,通过非子样本反轮廓波变换重构分解系数,得到最终的融合图像。实验表明,本文算法既能充分融合全色图像的细节信息,又能较好地保留多光谱图像的光谱特征,有效地降低了光谱失真问题。
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Multi-spectral image fusion based on the characteristic of imaging system
For advancing the image quantity of multi-spectral and panchromatic images fusion, this paper presents an algorithm of multi-spectral image fusion based on the characteristic of imaging system. This algorithm firstly executes multi-resolution decomposition to multi-spectral and panchromatic images adopting with Nonsubsample contourlet transform, then establishes the panchromatic image injection model by analysising the imaging system characteristic of multi-spectral image in detail, and injects the detail information of panchromatic image to every spectrum of multi-spectral image by this model. At last, the decomposition coefficient is reconstructed by inverse nonsubsample contourlet transform so that the final fusion image is obtained. The experiment shows that the algorithm of this paper can not only fuses the detail information of panchromatic image adequately, but also retains the spectral characteristic of multi-spectral image better, reduces the spectrum distortion problem effectively.
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