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Spatial And Spectral Quality Evaluation Based On Edges Regions Of Satellite Image Fusion

机译:基于边缘区域的空间和光谱质量评价   卫星图像融合

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摘要

The Quality of image fusion is an essential determinant of the value ofprocessing images fusion for many applications. Spatial and spectral qualitiesare the two important indexes that used to evaluate the quality of any fusedimage. However, the jury is still out of fused image's benefits if it comparedwith its original images. In addition, there is a lack of measures forassessing the objective quality of the spatial resolution for the fusionmethods. Therefore, an objective quality of the spatial resolution assessmentfor fusion images is required. Most important details of the image are in edgesregions, but most standards of image estimation do not depend upon specifyingthe edges in the image and measuring their edges. However, they depend upon thegeneral estimation or estimating the uniform region, so this study deals withnew method proposed to estimate the spatial resolution by Contrast StatisticalAnalysis (CSA) depending upon calculating the contrast of the edge, non edgeregions and the rate for the edges regions. Specifying the edges in the imageis made by using Soble operator with different threshold values. In addition,estimating the color distortion added by image fusion based on HistogramAnalysis of the edge brightness values of all RGB-color bands and Lcomponent.
机译:图像融合的质量是许多应用中处理图像融合的价值的重要决定因素。空间和光谱质量是用于评估任何融合图像质量的两个重要指标。但是,陪审团如果将其与原始图像进行比较,仍然无法获得融合图像的好处。另外,缺乏用于评估融合方法的空间分辨率的客观质量的措施。因此,需要用于融合图像的空间分辨率评估的客观质量。图像的最重要细节在边缘区域中,但是图像估计的大多数标准并不取决于指定图像中的边缘和测量其边缘。但是,它们依赖于一般估计或估计均匀区域,因此,本研究涉及一种新方法,该方法提出了根据对比度统计分析(CSA)估计空间分辨率的方法,该方法取决于计算边缘的对比度,非边缘区域和边缘区域的比率。通过使用具有不同阈值的Soble运算符来指定图像中的边缘。另外,基于直方图估计由图像融合增加的颜色失真分析所有RGB色带和Lcomponent的边缘亮度值。

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