My intention is to post my technical paper that spun off from my Masters Thesis Project on my web blog here, but my paper is literally hardcopy on paper. I will have to scan it as a PDF and convert to text using OCR using an automated process mind you, but it will take some time.
COMPARISON of DATA FUSION TECHNIQUES:
IHS AND MULTIRESOLUTION WAVELET DECOMPOSITION.
ABSTRACT
A new algorithm for data fusion of satellite imagery using wavelet analysis. Data fusion is a very useful technique to maximize the resolution of spatial and spectral information in multi-sensor satellite imagery. In remote sensing application there is a trade-off between the two. The objective - to compare two commercially available algorithms such as the Intensity-Hue-Saturation (I.H.S) and Brovey-Sharpening merged-image results, with my own algorithm using Multi-resolution Wavelet Decomposition (M.W.D) data fusion on recent satellite imagery. M.W.D was completed using the Maximum Fusion Rule and also Pyramidal Substitution, which the results proved superior.
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