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Panchromatic Sharpening Method of Spectral Image Based on Fusion of Overall Structural Information and Spatial Detail Information

机译:基于整体结构信息和空间细节信息融合的光谱图像全色锐化方法

摘要

The present invention provides a panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising: performing brightness linear stretching on a panchromatic image, so as to set the variance of the panchromatic image to be equal to the variance of said spectral image; respectively interpolating N components of the spectral image so as to generate an interpolation image series having the same resolution as that of the panchromatic image; subtracting the interpolation image series from the panchromatic image after said linear stretching to obtain difference images; performing Gauss filtering on the difference images, thereby obtaining difference tendency images; and, respectively subtracting the difference tendency image series from the panchromatic image after said linear stretching, thus obtaining fused images. The method can maintain both spectral fidelity and texture detail fidelity of the fused images, support high computation speed, and has wide applicability.
机译:本发明提供了一种基于整体结构信息和空间细节信息融合的光谱图像全色锐化方法,包括:对全色图像进行亮度线性拉伸,以使所述全色图像的方差等于所述方差。所述光谱图像;分别对光谱图像的N个分量进行插值,以生成分辨率与全色图像分辨率相同的插值图像序列;所述线性拉伸后,从全色图像中减去插值图像序列,得到差分图像;对差异图像进行高斯滤波,从而获得差异趋势图像;所述线性拉伸后,分别从全色图像中减去差异趋势图像序列,得到融合图像。该方法既可以保持融合图像的光谱保真度,又可以保持纹理细节的保真度,支持较高的计算速度,具有广泛的适用性。

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