A Hybrid Statistical IHS Image Fusion Method

نوع مقاله: مقاله پژوهشی انگلیسی

نویسندگان

1 Babol Noshirvani University of Technology

2 K.N. Toosi University of Technology, Tehran, Iran

3 University of Tabriz, Tabriz, Iran

چکیده

IHS method for image fusion is one of the conventional methods with a simple theory. Implementation of this
method is simple and effective from computational point of view. But this method causes the spectral content of
the fused image to get disturbed in comparison with the spectral criteria of the main multispectral image. In this
article a statistical image fusion method is combined with the conventional IHS method to improve its spectral
quality and overcome its deficiency. Some spectral indices were used for evaluation of this combined method and
compared with the conventional IHS and the used statistical fusion methods. This combined method improves the
spectral quality of the fused image and eliminates the existing shortcomings of the spectral disturbing in fused
image produced by IHS method.

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