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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

has been cited by the following article:

• TITLE: A Study of Pansharpened Images Based on the HSI Transformation Approach

  AUTHORS: Yoshihiro Mitani, Yoshihiko Hamamoto

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

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.12B, January 25, 2013

  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.