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A comparative analysis of image fusion methods | IEEE Conference Publication | IEEE Xplore

A comparative analysis of image fusion methods


Abstract:

In literature, several methods are available to combine both low spatial multispectral and low spectral panchromatic resolution images to obtain a high resolution multisp...Show More

Abstract:

In literature, several methods are available to combine both low spatial multispectral and low spectral panchromatic resolution images to obtain a high resolution multispectral image. One of the most common problems encountered in these methods is spectral distortions introduced during the merging process. At the same time, the spectral quality of the image is the most important factor affecting the accuracy of the results in many applications such as object recognition, object extraction, image analysis. In this study, the most commonly used methods including GIHS, GIHSF, PCA and Wavelet are analyzed using image quality metrics such as SSIM, ERGAS and SAM. At the same time, Wavelet is the best method for obtaining the fused image having the least spectral distortions according to obtained results. At the same time, image quality of GIHS, GIHSF and PCA methods are close to each other, but spatial qualities of the fused image using the wavelet method are less than others.
Date of Conference: 18-20 April 2012
Date Added to IEEE Xplore: 28 May 2012
ISBN Information:
Print ISSN: 2165-0608
Conference Location: Mugla, Turkey

References

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