International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004
c)3pass d)4pass
n.
Figure 7 Reversed transformed image by wavelet
transformation each step.
£x aa
Figure 8 Result image by Wavelet method
obtained by step, rough images of high resolution images were
replaced by those of low resolution images. Next, final images
were obtained by reverse transformation to original sizes using
rough images of low resolution images and precise images of
high resolution images.
As shown in the figure, as transformation us processed by
step, spatial resolution was increased. Figure 8 and 9 show
fusion images from a developed fused program and images
using Mathlab library. As comparing two images, images using
Mathlab showed slight diffusion in terms of colors and two
images had slight differences even in sharpness.
5.2 Image Analysis
5.2.1 Resolution Analysis
Partial areas were enlarged to compare resolutions between
Wavelet and IHS fusion method.
Mountain and river areas were enlarged for comparison.
Linear structure was remarkably appeared in river areas. While
b) Mathlab.method
Figure 10 Part of image by each method.
(linear structure & Mt.)
(residential area & bridge)
Intern
IHS 1
was k
in smt
noise
HIS f
resolu
comp:
devel
using
enlarg
resolt
resolt
Gray
were.
progr:
of 0-
ignore
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5.2.2.
Ro
roofs
methc
Wave
color
excel]
Wave
HPF 1
5.2.3
Figi