A Study of Pansharpened Images Based on the HSI Transformation Approach

Yoshihiro Mitani, Yoshihiko Hamamoto

Department of Intelligent System Engineering, Ube National College of Technology, Ube, Japan.
Faculty of Engineering, Yamaguchi University, Ube, Japan.

DOI: 10.4236/jsea.2012.512B031                

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.

Keywords

Multispectral Image; Pan-Sharpening; HSI Transformation; Smoothing Techniques

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Y. Zhang and G. Hong, “An IHS and Wavelet Inte-grated Approach to Improve Pan-Sharpening Visual Quality of Natural Colour IKONOS and QuickBird Images,” Information Fusion, 6, 2005, pp. 225-234. doi:10.1016/j.inffus.2004.06.009
[2]	J. Zhang, “Mul-ti-Source Remote Sensing Data Fusion: Status and Trends,” International Journal of Image and Data Fusion, Vol. 1, No. 1, 2010, pp. 5-24. doi:10.1080/19479830903561035
[3]	M. Ehlers, S. Klonus, P. J. Astrand and P. Rosso, “Multi-Sensor Image Fusion for Pansharpening in Remote Sens-ing,” International Journal of Image and Data Fu-sion, Vol. 1, No. 1, 2010, pp. 25-45. doi:10.1080/19479830903561985
[4]	K. N. Platanio-tis and A. N. Venetsanopoulos, “Color Image Processing and Applications,” Springer, 2000.
[5]	Y. Mitani and Y. Hamamoto, “A Con-sideration of Pan-Sharpen Images by HSI Trans-formation Approach,” Proceedings of the Society of Instrument and Control Engineers Annual Conference, 2010, pp. 1283-1284.
[6]	M. Takagi and H. Shimoda, “Handbook of Image Analysis,” Revised Edition, University of Tokyo Press, 2004.
[7]	C. Tomasi and Y. Manduchi, “Bilateral Filtering for Gray and Color Images,” Proceedings of the 1998 IEEE International Conference on Computer Vision, 1998, pp. 839-846.