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Information Journal Paper

Title

MULTISPECTRAL AND PANCHROMATIC IMAGE FUSION USING SPATIAL PCA

Pages

  69-78

Abstract

 Obtaining an image with high spectral and spatial resolution is the goal of IMAGE FUSION. PCA is a well-known pan-sharpening approach widely used for its efficiency and high spatial resolution. However, it can distort the spectral characteristics of the MULTISPECTRAL IMAGES. To avoid the weak points of the STANDARD PCA technique, SPATIAL PCA transform has been proposed and reasons of superiority of this method in maintaining the spectral information are discussed in this paper. Also, a new assessment criterion is proposed and the advantage of this criterion relative to the conventional mutual information criterion is argued. The proposed assessment metric and other popular metrics such as: ERGAS, SAM, correlation coefficient UIQI, and mutual information are used to analyze the fusion result. These assessments show that the proposed method has the least color distortions and contains more spatial information.

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    APA: Copy

    SHAHDOOSTI, HAMID REZA, & GHASSEMIAN, MOHAMAD HASSAN. (2013). MULTISPECTRAL AND PANCHROMATIC IMAGE FUSION USING SPATIAL PCA. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 19)), 69-78. SID. https://sid.ir/paper/160814/en

    Vancouver: Copy

    SHAHDOOSTI HAMID REZA, GHASSEMIAN MOHAMAD HASSAN. MULTISPECTRAL AND PANCHROMATIC IMAGE FUSION USING SPATIAL PCA. SIGNAL AND DATA PROCESSING[Internet]. 2013;-(1 (SERIAL 19)):69-78. Available from: https://sid.ir/paper/160814/en

    IEEE: Copy

    HAMID REZA SHAHDOOSTI, and MOHAMAD HASSAN GHASSEMIAN, “MULTISPECTRAL AND PANCHROMATIC IMAGE FUSION USING SPATIAL PCA,” SIGNAL AND DATA PROCESSING, vol. -, no. 1 (SERIAL 19), pp. 69–78, 2013, [Online]. Available: https://sid.ir/paper/160814/en

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