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Asian Journal of Scientific Research
  Year: 2018 | Volume: 11 | Issue: 2 | Page No.: 162-168
DOI: 10.3923/ajsr.2018.162.168
 
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Fusion Enhancement of Multispectral Satellite Image by Using Higher Order Statistics
T. Venkata Krishnamoorthy and G. Umamaheswara Reddy

Abstract:
Background and Objective: The satellite multispectral images have several bands, which have low resolution and limited information. These bands are combined into a fused single image that contains the information of all bands, but these existing fusion methods are affected by color distortion. The aim of this study was to improve the spatial and spectral information of satellite images by using higher order statistics in combination with intensity hue saturation and wavelet method. It exhibited higher performance than the color normalization and Panchromatic sharpening techniques. Materials and Methods: The present study developed a new fusion enhancement method for National Oceanic and Atmospheric Administration multispectral satellite images to provide an improved conceptual framework with minimal color distortion. The following parameters are used to assess the performance of the proposed fusion enhancement method: Root mean square error, correlation coefficient, structural similarity index measure, error relative global adimensionnelle de synthese and relative average spectral error. Results: To reduce the dimensionality of multi band satellite images independent component analysIs is employed, which uses the higher-order statistics of the data respectively and the image is fused with High resolution panchromatic satellite image. Conclusion: The enhanced image of proposed algorithm are compared with previous techniques and got better improvement than previous images.
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How to cite this article:

T. Venkata Krishnamoorthy and G. Umamaheswara Reddy, 2018. Fusion Enhancement of Multispectral Satellite Image by Using Higher Order Statistics. Asian Journal of Scientific Research, 11: 162-168.

DOI: 10.3923/ajsr.2018.162.168

URL: https://scialert.net/abstract/?doi=ajsr.2018.162.168

 
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