Title | ||
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Side-Slither Data-Based Vignetting Correction of High-Resolution Spaceborne Camera with Optical Focal Plane Assembly. |
Abstract | ||
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Optical focal plane assemblies are increasingly being used in high-resolution optical satellite systems to enhance the width of the image using linear push-broom imaging. With this system, vignetting occurs in the area of overlap, affecting image quality. In this paper, using the characteristics of the side-slither data, we propose side-slither data-based vignetting correction of a high-resolution spaceborne camera with an optical focal plane assembly. First, the raw side-slither data standardization is used to ensure that each row has the same features. Then, with the spatial correlation of a gray-level co-occurrence matrix, the gray-level co-occurrence matrix is proposed to identify the uniform regions, to extract the sample points. Finally, due to the characteristics of compatible linear response and non-linear response, the power-law model was used to fit, and the Levenberg-Marquardt algorithm was used to fit the model. In the experiment, polynomial fitting, laboratory coefficients and on-orbit coefficients were used for comparison with the proposed method. The side-slither data can be treated as a uniform scene due to their characteristics, and the side-slither image that was corrected using the proposed method showed less than 1% change in mean value, a root-mean-square deviation value better than 0.1%, and the average streaking metrics were superior to 0.02. The results showed that the proposed method performs significantly better in the vignetting area. |
Year | DOI | Venue |
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2018 | 10.3390/s18103402 | SENSORS |
Keywords | Field | DocType |
optical focal plane assembly,vignetting correction,push-broom,high-resolution optical satellite,side-slither data,power-law model,gray level co-occurrence matrix,Levenberg-Marquardt | Cardinal point,Optics,Electronic engineering,Vignetting,Engineering | Journal |
Volume | Issue | ISSN |
18 | 10.0 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chaochao Chen | 1 | 118 | 8.77 |
Jun Pan | 2 | 28 | 6.90 |
mi | 3 | 88 | 30.02 |
Ying Zhu | 4 | 3 | 3.77 |