| Paper Details: | Downloads: 1181 |
| Serial Number: | P1151442347
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| Title: | Measuring Sub Pixel Erratic Shift in Egyptsat-1 Aliased Images: proposed method
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| Authors: | M.A. Fkirin and S.M. Badway and A.K. Helmy and S.A. Mohamed
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| Abstract: | This paper proposes a method for image-based shift measurement and investigates solution for the mismatched bands of Egyptsat-1 satellite. Due to the mismatching between bands, aliasing have been noticed after combining the bands. A tiny error in measuring sub pixel shift leads to an incorrect image analysis tasks, in which the final information is gained from the combination of various data sources like in image fusion, change detection, and multichannel image restoration. This process can be posed as a planer motion estimation between each pair of low resolution LR images, in which we try to combine the principles of local adaptation and global consistency to obtain accurate and robust estimation. The present method aims to select significant frequencies of an observed signal for three parameter; horizontal, vertical and rotation to avoid the frequency of the very few that affect the output. Applying Tukey window to the images causes our algorithm to outperform the others in the estimation and minimization of border effects, especially when the images have big rotations with respect to each other. SPOT5 satellite images with known displacement are used to assess the quality of the proposed method and its technique is applied to measure the shift between Egyptsat-1 bands. This could solve Egyptsat-1 problem of mismatches between its bands. In addition, the resulted corrected Bands could be used in super resolution reconstruction methods. The experimental results of the proposed technique showed better outcome than the existing methods in terms of objective criteria and subjective perception improving the egyptsat-1bands mismatch.
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| Keywords: | Spot-5, sub-pixel shift, Tukey windows, window size, super-resolution
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 14
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| Issue: | 2
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| Submission Date: | 10/15/2014 12:00:00 AM
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| Review Date: | 11/17/2014 12:00:00 AM
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| Publishing Date: | 12/8/2014 12:00:00 AM
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| Article Downloads: | 1181
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