Thursday 28th of March 2024
 

A New Image Fusion Technique to Improve the Quality of Remote Sensing images


Aboubaker Milad Ahmed, Fawzy Eltohamy Hassan Amen, Mohamed Yousry Ahmed El Nahas and Guda Ismail Salama

Image fusion is a process of producing a single fused image from a set of input images. In this paper a new fusion technique based on the use of independent component analysis (ICA) and IHS transformation is proposed. A comparison of this new technique with PCA, IHS, and ICA-based fusion techniques is given. Quick Bird data are used to test these techniques, the output was evaluated using subjective comparison, statistical correlation, information entropy, mean square error, and standard deviation. The results of the proposed technique show higher performance compared to the other techniques.

Keywords: Image fusion, principle component analysis(PCA), Independent component analysis(ICA), Intensity Hue Saturation(IHS).

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ABOUT THE AUTHORS

Aboubaker Milad Ahmed
B.Sc in electrical engineering from Enginneering academmy/ Tajura-Libya(1990) M.Sc in electrical engineering from AASTMT/ Alexandria-Egypt(2008)

Fawzy Eltohamy Hassan Amen
B.Sc in electrical engineering from MTC Cairo/Egypt(1982). M.Sc in electrical engineering from Alazhar University Cairo/Egypt(1982). Ph.D. in electrical engineering from university of Technology of compiagne/ France(1986)

Mohamed Yousry Ahmed El Nahas
B.Sc in electrical engineering from MTC Cairo/Egypt(1982). M.Sc in electrical engineering from Toulouse- France (1977). Ph.D. in computer engineering from high school of communications Paris/France(1980)

Guda Ismail Salama
B.Sc in electrical engineering from MTC Cairo/Egypt(1988). M.Sc in electrical engineering from MTCLCairo-Egypt(1994). Ph.D. in computer engineering from USA (1999)


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