Different scaling and autocorrelation characteristics and their application
to astronomical images are discussed: the structure function, the autocorr
elation function, Fourier spectra and wavelet spectra. The choice of the ma
thematical tool is of great importance for the scaling analysis of images.
The structure function, for example, cannot resolve scales that are close t
o the dominating large-scale structures, and can lead to the wrong interpre
tation that a continuous range of scales with a power law exists. The tradi
tional Fourier technique, applied to real data, gives very spiky spectra, i
n which the separation of real maxima and high harmonies can be difficult.
We recommend as the optimal tool the wavelet spectrum with a suitable choic
e of the analysing wavelet. We introduce the wavelet cross-correlation func
tion, which enables us to study the correlation between images as a functio
n of scale. The crosscorrelation coefficient strongly depends on the scale.
The classical cross-correlation coefficient can be misleading if a bright,
extended central region or an extended disc exists in the galactic images.
An analysis of the scaling and cross-correlation characteristics of nine op
tical and radio maps of the nearby spiral galaxy NGC 6946 is presented. The
wavelet spectra allow us to separate structures on different scales like s
piral arms and diffuse extended emission. Only the images of thermal radio
emission and H alpha emission give indications of three-dimensional Kolmogo
rov-type turbulence on the smallest resolved scales (160-800pc). The crossc
orrelations between the images of NGC 6946 show strong similarities between
the images of total radio emission, red Light and mid-infrared dust emissi
on on all scales. The best correlation is found between total radio emissio
n and dust emission. Thermal radio continuum and Ha emission are best corre
lated on a scale of about 1 arcmin similar or equal to 1.6 kpc, the typical
width of a spiral arm. On a similar scale, the images of polarized radio a
nd H alpha emission are anticorrelated, a fact that remains undetected with
classical cross-correlation analysis.