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• W2187316579 abstract "In computer vision, image fusion is the process of combining information from two or more images into a single composite image. The resultant image will be more informative and more suitable for visual perception or computer processing. In this study, the efficiency of different transforming techniques of wavelet resolution merge for fusion of ASTER-L1B and RADARSAT-1 SAR data has been investigated and compared.In doing so, the SB (Single Band), IHS (Intensity, Hue, Saturation) and PC (Principal Component) were applied as transforming techniques in order to merge the multi- sensor images. For as much as the suitability of the fusion algorithms for various applications depends on the quality of the fused images, several indicatorshave been used to evaluate the performance of the output images. Then the transforming techniques were ranked according to the conclusion of each indicator.Achieved results from the analyses of standard deviation difference, relative variation difference and root mean square error indicated advantage of the single band transforming technique than the PC and IHS, while the results of relative mean difference showed superiority of the PC technique. The resultsalso indicated that the IHS is the worst technique based on the analyses of standard deviation difference, relative variation difference and root mean square error, while the output of SB is the worst image based on the relative mean difference analysis. Based on the results of indicators, it can be said that the SB is the best, the PC is better and the IHS is the worst technique for fusion of the satellite images.Finally, according to the achieved results, it can be concluded that all three transforming techniques are good preserved spectral quality of the original multispectral image, but the output of SB technique indicated slightly advantage than the output of PC and IHS for ASTER and RADARSAT SAR data fusion. Furthermore, the results indicated capability of the wavelet resolution merge for multi-sensor data fusion." @default.
• W2187316579 created "2016-06-24" @default.
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• W2187316579 date "2011-12-01" @default.
• W2187316579 modified "2023-09-26" @default.
• W2187316579 title "Fusion of Aster And Radarsat Sar Data Using Different Transforming Algorithms of Wavelet Resolution Merge" @default.
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