This paper is published in Volume 2, Issue 7, 2017
Area
Image Processing
Author
Kavana A. M
Co-authors
Dr. Mohamed Rafi
Org/Univ
University B.D.T. College of Engineering, Karnataka, India
Keywords
Image fusion, Panchromatic images, Multispectral images, PCA, Wavelet, HIS, ERGAS, Q4
Citations
IEEE
Kavana A. M, Dr. Mohamed Rafi. Implementation of Robust Satellite Image Enhancement for Fusion of Multispectral and Panachromatic Images, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Kavana A. M, Dr. Mohamed Rafi (2017). Implementation of Robust Satellite Image Enhancement for Fusion of Multispectral and Panachromatic Images. International Journal of Advance Research, Ideas and Innovations in Technology, 2(7) www.IJARnD.com.
MLA
Kavana A. M, Dr. Mohamed Rafi. "Implementation of Robust Satellite Image Enhancement for Fusion of Multispectral and Panachromatic Images." International Journal of Advance Research, Ideas and Innovations in Technology 2.7 (2017). www.IJARnD.com.
Kavana A. M, Dr. Mohamed Rafi. Implementation of Robust Satellite Image Enhancement for Fusion of Multispectral and Panachromatic Images, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Kavana A. M, Dr. Mohamed Rafi (2017). Implementation of Robust Satellite Image Enhancement for Fusion of Multispectral and Panachromatic Images. International Journal of Advance Research, Ideas and Innovations in Technology, 2(7) www.IJARnD.com.
MLA
Kavana A. M, Dr. Mohamed Rafi. "Implementation of Robust Satellite Image Enhancement for Fusion of Multispectral and Panachromatic Images." International Journal of Advance Research, Ideas and Innovations in Technology 2.7 (2017). www.IJARnD.com.
Abstract
This paper shows execution and assessment of the picture combination methods connected on the panchromatic and multispectral satellite pictures. The review territory is secured diverse landscape morphologies. A decent combination plan ought to safeguard the phantom qualities of the source multi-ghostly picture and also the high spatial determination attributes of the source panchromatic picture. So as to discover the combination calculation which is most appropriate for the panchromatic and multispectral pictures, combination calculations, for example, PCA and wavelet calculations have been utilized and broke down. In this paper, execution assessment criteria are likewise utilized for quantitative appraisal of the combination execution. The otherworldly nature of combined pictures is assessed by the Deviation Angle, Spectral Angle, Correlation Index, ERGAS, Q4 and RMSE. The examination shows that the DWT combination plot has the best definition and also phantom constancy, and has better execution with respect to the high textural data retention. Accordingly, as the review region is concerned, it is most suited for the panchromatic and multispectral picture combination.
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