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MULTIRESOLUTION IMAGE FUSION: PHASE CONGRUENCY FOR SPATIAL CONSISTENCY ASSESSMENT

机译:多分辨率图像融合:空间一致性评估的相算

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Multiresolution and multispectral image fusion (pan-sharpening) requires proper assessment of spectral consistency but also spatial consistency. Many fusion methods resulting in perfect spectral consistency may leak spatial consistency and vice versa, therefore a proper assessment of both spectral and spatial consistency is required. Up to now, only a few approaches were proposed for spatial consistency assessment using edge map comparison, calculated by gradient-like methods (Sobel or Laplace operators). Since image fusion may change intensity and contrast of the objects in the fused image, gradient methods may give disagreeing edge maps of the fused and reference (panchromatic) image. Unfortunately, this may lead to wrong conclusions on spatial consistency. In this paper we propose to use phase congruency for spatial consistency assessment. This measure is invariant to intensity and contrast change and allows to assess spatial consistency of fused image in multiscale way. Several assessment tests on IKONOS data allowed to compare known assessment measures and the measure based on phase congruency. It is shown that phase congruency measure has common trend with other widely used assessment measures and allows to obtain confident assessment of spatial consistency.
机译:多分辨率和多光谱图像融合(PAN磨削)需要适当评估光谱一致性,但也需要空间一致性。许多融合方法导致完美的光谱一致性可能会泄漏空间一致性,反之亦然,因此需要对光谱和空间一致性的适当评估。到目前为止,提出了使用边缘地图比较的空间一致性评估的几种方法,通过梯度样方法(Sobel或Laplace运算符)计算。由于图像融合可以改变融合图像中对象的强度和对比,因此梯度方法可以给出融合和参考(Panchromic)图像的不同意边缘图。不幸的是,这可能会导致错误的空间一致性结论。在本文中,我们建议使用相等的空间一致性评估。该措施不变于强度和对比度变化,并允许以多尺度方式评估融合图像的空间一致性。允许在IKONOS数据上进行几次评估测试,以比较已知的评估措施和基于相一致性的措施。结果表明,相信措施与其他广泛使用的评估措施具有共同趋势,并允许获得对空间一致性的自信评估。

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