Paper
22 November 2024 High-resolution rotating pupil optical imaging for satellite remote sensing
Jiahao Zhang, Hui Zhao, Mingyang Yang, Xuewu Fan
Author Affiliations +
Abstract
With the development of space satellite remote sensing technology, the demand of high-resolution imaging is increasing day by day. The aim of this paper is to explore a new kind of optical imaging, high-resolution rotating pupil optical imaging. By introducing rectangular rotating pupil and super-resolution reconstruction algorithm into the imaging system, this technology can significantly improve the resolution of the system, reduce aberrations and improve the image quality. Firstly, the theoretical basis of rotating pupil optical imaging is analyzed, including the effect of pupil rotation on the performance of the imaging system. The degradation images with different rotation angles are obtained, and the degradation mechanism and characteristics are analyzed. Then, a set of simulation model and method for image quality improvement of rotating pupil optical imaging system are designed and constructed. The final high-resolution image is obtained by the super-resolution reconstruction algorithm, and the theoretical analysis and performance index of this technology are verified and tested. Compared with traditional active super-resolution imaging system, rotating pupil optical imaging adopts passive imaging mode, which can significantly improve imaging resolution and reduce aberrations, especially in dynamic imaging and long-distance imaging. Finally, the future development trend of rotating pupil optical imaging is prospected, and the possible improvement direction and further research suggestions are put forward. This technology is expected to play an important role in the future field of space optical imaging, providing new solutions for high-resolution imaging.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiahao Zhang, Hui Zhao, Mingyang Yang, and Xuewu Fan "High-resolution rotating pupil optical imaging for satellite remote sensing", Proc. SPIE 13239, Optoelectronic Imaging and Multimedia Technology XI, 132390K (22 November 2024); https://doi.org/10.1117/12.3036296
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KEYWORDS
Imaging systems

Image restoration

Optical imaging

Reconstruction algorithms

Image resolution

Image quality

Super resolution

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