Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration

Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration
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基于Turbo迭代的多输入多输出图像融合

DOI:
10.1155/2010/807098
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发表时间:
2010
影响因子:
1.9
通讯作者:
--
中科院分区:
工程技术4区
文献类型:
--
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将多极子合成孔径雷达(SAR)图像与彩色光学图像视为多通道图像进行融合处理。在传统的基于小波和基于模型的融合算法的基础上,提出了一种基于多阶多Turbo迭代的多通道图像融合算法。从信息分离的角度出发,提出了多帧多输出的图像融合方法,并采用Turbo迭代算法实现了基于小波和基于模型的融合。该方法是以这种方式设计的。首先,强度色调饱和度(IHS)变换应用到SAR和光学图像。然后,在相应的组件上使用不同的融合过程。基于多重多重和Turbo迭代的融合应用于强度分量,而加权融合应用于色调和饱和度分量。为了得到最终结果,应用逆IHS变换。实验结果表明,该算法能有效地保留光学图像和SAR图像之间的互补信息。
This paper mainly addresses the problem of multipolar Synthetic Aperture Radar (SAR) and colorful optical images fusion by regarding them as multichannel images. Based on traditional wavelet-based and model-based fusion algorithms, the paper proposes a multi-channel image fusion algorithm based on a multi-multiturbo iterative method. Multi-multiframe is proposed to represent the original image information with multiple outputs from better information-separating viewpoints, and turbo iterative balances wavelet-based and model-based fusion. The approach is designed in this manner. First, Intensity-Hue-Saturation (IHS) transformation is applied to the SAR and optical images. Then, different fusion processes are used on corresponding components. Fusion based on multi-multi and turbo iterative is applied to the Intensity component whereas weighted fusion is applied to Hue and Saturation components. To get the final result, inverse IHS transformation is applied. Experimental results show that the proposed algorithm performs effectively in preserving useful complementary information between optical and SAR images.
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