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رایانش نرم و فناوری اطلاعات، جلد ۱، شماره ۴، صفحات ۲۹-۴۰
عنوان فارسی A Hybrid Statistical IHS Image Fusion Method
چکیده فارسی مقاله 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.
کلیدواژه‌های فارسی مقاله Image fusion، IHS، Statistical method، Spectral quality،
عنوان انگلیسی A Hybrid Statistical IHS Image Fusion Method
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Image fusion, IHS, Statistical method, Spectral quality
نویسندگان مقاله Ali Reza Afary |
Babol Noshirvani University of Technology

Mohammad Javad Valdan Zoej |
K.N. Toosi University of Technology, Tehran, Iran

Hassan Emami |
University of Tabriz, Tabriz, Iran

نشانی اینترنتی http://jscit.nit.ac.ir/article_80868_c24c0ef92e8ff96d58d1a58c2bebedba.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/834/article-834-1143548.pdf
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