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Fusion by Relative Contribution

Because the results of the fusion by HSV transformation were not fully satisfactory, also a second fusion method was examined, which can be described by the equation
displaymath567
where tex2html_wrap_inline569 is the newly created fused image, tex2html_wrap_inline571 is the multispectral (color infrared) image with 4 m resolution, tex2html_wrap_inline573 is the highly resolved panchromatic image, and tex2html_wrap_inline575 is a panchromatic image created by averaging the three bands of the multispectral image. In principle the first term in the above equation describes the spectral information while the spatial information is represented by the panchromatic image tex2html_wrap_inline573.

In contrast to the HSV transformation this fusion method produced images which were better correlated to those truly sampled at 1 m (see Section 4.1). Another advantage of this technique is that it is possible to fuse images with any number of bands, that cannot be coded by red, green and blue.

The result of an application of this technique to the examplary image shown here can be seen in Figure 5. In addition to the above recipe (Section 3.1), after the magnification of the color image (step 2), the color image was smoothed in a sliding local window of the size of the resolution ratio (here 4x4 pixels). This amounts to a bilinear interpolation between the known color values at the coarse resolution grid, and achieves the surprisingly `sharp-looking' CIR image (Figure 4).

  figure87
Figure 4: Color infrared image of urban area, after bilinear interpolation of 4 m-image.

  figure94
Figure 5: Color infrared image of urban area, fused from panchromatic image at (1 m) and color infrared image (4 m).


next up previous
Next: Comparison between Fused Image Up: Data Fusion between 1 m Previous: Fusion by HSV Transformation

Boris Prinz
Wed Oct 22 10:04:14 MEST 1997