24 November 2014 Degradation and restoration of high resolution TDICCD imagery due to satellite vibrations
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Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93012I (2014) https://doi.org/10.1117/12.2072691
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
Abstract
A new method is proposed to solve the problem of image restoration of high resolution TDICCD camera due to satellite vibrations, which considers image blur and irregular sampling geometric quality degradation simultaneously. Firstly, the image quality degradation process is analyzed according to imaging characteristics of TDICCD camera, owing to image motions during TDICCD integration time induced by satellite vibrations. In addition, the vibration simulation model is established, and the irregular sampling degradation process of geometric quality is mathematically modeled using bicubic Hermite interpolation. Subsequently, a full image degradation model is developed combined with blurred and noisy degradation process. On this basis, a new method of image restoration is presented, which can implement not only deblurring but also irregular to regular sampling. Finally, the method is verified using real remote sensing images, and compared with the recent restoration methods. Experimental results indicate that the proposed method performs well, and the Structural Similarity between the restored and ideal images are greater than 0.9 in the case of seriously blurred, irregularly sampled and noisy images. The proposed method can be applied to restore high resolution on-orbit satellite images effectively.
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Xiyang Zhi, Xiyang Zhi, Qingyu Hou, Qingyu Hou, Xuan Sun, Xuan Sun, Wei Zhang, Wei Zhang, Liyuan Li, Liyuan Li, Dawei Wang, Dawei Wang, } "Degradation and restoration of high resolution TDICCD imagery due to satellite vibrations", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93012I (24 November 2014); doi: 10.1117/12.2072691; https://doi.org/10.1117/12.2072691
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