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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
Obviously, PSF method is better than HIS method in keeping
spectral fidelity.
t
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Figure 2. Three Band colour composite image of IRMSS
images and their data fusion image based on CCD image:
image A is a colour image of B6,B7,B8; image B is a data
fusion image by HIS method: image C is a data fusion image by
PSF method.
[Image spectral profile can also show the effect of data fusion.
An image spectral profile located at a black line on image B in
Fig. l, is shown in Fig. 3. Here black curves are the original
Image spectral profiles: upper curve is B4 image spectral profile,
the other black curve is B7 image spectral profile; gray curve is
à spectral profile of data fusion image derived from B7 and B4
by PSF method. In Fig. 3 it shows clearly that the spectral curve
of B4 image is far away from the spectral curves of B7 image
and the data fusion image, while the curve of data fusion image
IS very close to the curve of B7 image, the difference is only
that the spectral curve of data fusion image has more high-
frequent change than the curve of B7 image, and the high-
frequent change is quite similar to that in the curve of B4 image,
Which indicates that data fusion image has more spatial details
and its spectral properties are close to its original image's.
The image mean and deviation can also show the effect of data
fusion. The image mean and deviation of original B6,B7,B8
Mage, data fusion images derived from B6,B7,B8 and B4 by
PSF method and HIS method respectively are listed in Table 2.
From table 2, the image deviation of data fusion image is larger
than the deviation of original image at correspondence band,
913
while the deviation of data fusion image produced by PSF is
similar to the deviation of image by HIS method, which
indicates that both methods can be used for improving lower
resolution image; the image mean of data fusion image by PSF
method is nearly the same as the mean of original IRMSS
image, but the image mean of the data fusion image by HIS
method is different from the mean of original IRMSS image,
which confirms that total spectral energy in data fusion image
produced by PSF method is the same as that in the original
IRMSS image and the spectral fidelity of the IRMSS image is
preserved after data fusion, but the same phenomenon does not
exist in HIS method.
Grey Values
l0 20 30 40 30 65. 70 20 90... 100. HO
sample Pixels
Figure 3. Image spectral profile of samples
Table 2. The statistics of B6,B7,B8 images and their data fusion
images
Mean Deviation
B6 B7 B8 B6 B7 B8
IRMSS | 123 111 75 12.8 107 7.6
PSF 123 111 75 259 |] 200 | 157
HIS * 177 166 130, 35.3.1 29.8.1 24.7
Note: PSF ': PSF data fusion image;
HIS ^: HIS data fusion image.
Images, image spectral profiles and statistics indicated that PSF
method can be used for improving the lower resolution image
and enhancing the spatial details, and at the same time, the data
fusion image produced by PSF still preserves the fidelity to the
lower resolution image spectral properties. Preserving spectral
fidelity is very useful and important for integrating and
analysing IRMSS images.
Since the spatial information in data fusion image is derived
from the higher resolution image, the image with more spatial
information content and more spatial details selected as the
higher resolution image in data fusion processing, will make the
data fusion image have more spatial details. CCD B5 image has
more spatial information content and more spatial details
because of its panchromatic spectral properties, therefore, using
CCD BS as a higher resolution image will lead to produce a
good quality data fusion image. At absent of CCD B5, CCD B4
image is a good image as the higher resolution image to take
part in data fusion processing. The intensity component of three
CCD band colour composite image will have more spatial
details, it will be better to use the intensity component as the
higher resolution image. Here it is not discussed in detail for
simplicity.