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首页> 外文期刊>Soft computing: A fusion of foundations, methodologies and applications >Takagi-Sugeno Fuzzy System and MTF-based Panchromatic Sharpening
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Takagi-Sugeno Fuzzy System and MTF-based Panchromatic Sharpening

机译:Takagi-Sugeno模糊系统和基于MTF的全色锐化

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The panchromatic sharpening or pansharpening refers to the fusion process of high-resolution panchromatic image and low- resolution multi-spectral images. Modulation Transfer Function (MTF) of satellite sensors has also been used for pansharpening. We investigate the use of Takagi-Sugeno fuzzy systems in MTF-based pansharpening algorithms. Traditional pansharpening schemes can result in spatial and/or spectral distortion during the fusion process. A fuzzy integrated fusion scheme is proposed to overcome this limitation. Spectral dissimilarities between panchromatic and multi-spectral bands are also taken into account. While preserving low-resolution multi-spectral information, Takagi-Sugeno fuzzy is introduced to inject appropriate spatial details in the pansharpened image. The local features of panchromatic image are also exploited to preserve the spatial and spectral content. Experiments conducted on Pliades, Spot-5 and WorldView-2 data set demonstrate the superior fusion quality of the proposed scheme.
机译:全色锐化或全锐化是指高分辨率全色图像和低分辨率多光谱图像的融合过程。卫星传感器的调制传递函数(MTF)也已用于锐化。我们研究了在基于MTF的泛锐化算法中Takagi-Sugeno模糊系统的使用。传统的全锐化方案可能会在融合过程中导致空间和/或频谱失真。为了克服这一局限性,提出了一种模糊综合融合方案。还考虑了全色和多光谱波段之间的光谱差异。在保留低分辨率多光谱信息的同时,引入了Takagi-Sugeno模糊技术,以在泛锐化图像中注入适当的空间细节。全色图像的局部特征也被用来保留空间和光谱内容。在Pliades,Spot-5和WorldView-2数据集上进行的实验证明了该方案的卓越融合质量。

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