A Study of Pansharpened Images Based on the HSI Transformation Approach ()
ABSTRACT
A pan-sharpen technique artificially produces a high-resolution image by image fusion techniques using high-resolution panchromatic and low-resolution multispectral images. Thus, the appearance of the color image can improve. In this paper, the effectiveness of three pan-sharpening methods based on the HSI transform approach is investigated. Three models are the hexcone, double hexcones, and Haydn’s approach. Furthermore, the effect of smoothing the low-resolution multispectral image is also investigated. The smoothing techniques are the Gaussian filter and the bilateral filter. The experimental results show that Haydn’s model is superior to others. The effectiveness of smoothing the low-resolution multispectral image is also shown.
Share and Cite:
Y. Mitani and Y. Hamamoto, "A Study of Pansharpened Images Based on the HSI Transformation Approach,"
Journal of Software Engineering and Applications, Vol. 5 No. 12B, 2012, pp. 163-166. doi:
10.4236/jsea.2012.512B031.
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