Pansharpening scheme using filtering in two-dimensional discrete fractional Fourier transform
Pansharpening scheme using filtering in two-dimensional discrete fractional Fourier transform
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DOI：
10.1049/iet-ipr.2017.0961
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Nidhi Saxena;K. K. Sharma-K.
中科院分区：
文献类型：
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作者：
Nidhi Saxena;K. K. Sharma-K.
泛锐化方案的目的是利用全色（PAN）图像改善多光谱图像的空间信息。本文提出了一种基于二维离散分数傅里叶变换（2D-DFRFT）的泛锐化方法。在该方案中，PAN和强度图像分别使用2D-DFRFT进行变换，并通过高通滤波器进行滤波。对滤波后的图像进行反变换，并利用适当的融合规则生成泛锐化图像。在提出的泛锐化方案中，利用与2D-DFRFT相关的角度参数的附加自由度来获得更好的结果。在MATLAB中对IKONOS和GeoEye-1卫星图像进行了仿真，并在视觉观察和质量指标方面与现有融合方法进行了比较。与现有方案相比，所提出的泛锐化方案提高了光谱分辨率和空间分辨率。
The aim of the pansharpening scheme is to improve the spatial information of multispectral images using the panchromatic (PAN) image. In this study, a novel pansharpening scheme based on two-dimensional discrete fractional Fourier transform (2D-DFRFT) is proposed. In the proposed scheme, PAN and intensity images are transformed using 2D-DFRFT and filtered by highpass filters, respectively. The filtered images are inverse transformed and further used to generate the pansharpened image using appropriate fusion rule. The additional degree of freedom in terms of its angle parameters associated with the 2D-DFRFT is exploited for obtaining better results in the proposed pansharpening scheme. Simulation results of the proposed technique carried out in MATLAB are presented for IKONOS and GeoEye-1 satellite images and compared with existing fusion methods in terms of both visual observation and quality metrics. It is seen that the proposed pansharpening scheme has improved spectral and spatial resolution as compared to the existing schemes.