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由不同尺度过程或作用叠加而形成的混合场在地学领域很常见,研究如何量化这些场的尺度不变性以及如何刻画其各项异性特征具有重要意义.介绍了近期研发的图像各向异性尺度不变性模拟和分解方法,并将其应用于遥感图像处理中.该方法是将各向异性尺度不变性模拟(SIG)和分形滤波(S-A)方法融合的,对于任意二维场,先用S-A模型判断其是否为混合场.如果是混合场,用S-A模型对其进行模式分解,然后再运用SIG模型量化分解后的各组分的各向异性尺度不变性,并描述其具体变换特征.基于一幅混合遥感影像的应用实例表明,该方法能够有效地量化二维混合场的各向异性尺度不变性.此外,混合场只有在正确分解成不同尺度的组分之后才能得到合理的利用.
It is very common in the field of geology to study the mixed fields formed by superposition of different scales of processes or functions and it is of great importance to study how to quantify the scale invariance of these fields and how to characterize their anisotropic features.It is introduced that the recently developed image anisotropy scale Denoising simulation and decomposition method and applying it to remote sensing image processing.The method combines the anisotropy scale invariance simulation (SIG) and the fractal filtering (SA) method. For any two-dimensional field, the SA model To determine whether it is a mixed field.If it is a mixed field, using SA model to decompose it, and then using the SIG model to quantify the anisotropy scale invariance of each component after decomposition, and describe the specific transform features.According to a The application example of mixed remote sensing images shows that this method can effectively quantify the anisotropy scale invariance of two-dimensional mixed field. In addition, the mixed field can be properly utilized only after being correctly decomposed into different scales of components.