Imaging characteristics and image restoration method for large field circular scanning system
| Autor: | Jianming Hu, Chen Wenbin, Fulin Yu, Xiyang Zhi, Shikai Jiang, Shuqing Zhang |
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| Rok vydání: | 2021 |
| Předmět: |
Regularization methodology
business.industry Computer science Physics QC1-999 Detector Process (computing) General Physics and Astronomy Field of view Remote sensing Imaging characteristics Image restoration Optics Sampling (signal processing) Computer Science::Computer Vision and Pattern Recognition Geostationary orbit Satellite business Large field circular scanning system Rotation (mathematics) |
| Zdroj: | Results in Physics, Vol 31, Iss, Pp 104884-(2021) |
| ISSN: | 2211-3797 |
| DOI: | 10.1016/j.rinp.2021.104884 |
| Popis: | Large field circular scanning system obtains remote sensing images by rotating scanning, which is one of the technical ways to effectively expand the field of view of geostationary orbit optical remote sensing imaging system. However, due to its special rotation scanning imaging mechanism, the on-orbit imaging process of this system is affected by the coupling of detector rotation sampling, satellite platform vibration, optical system aberration and other factors, so the image degradation characteristics are very complex. In this paper, the on-orbit imaging characteristics of large field circular scanning system are first analyzed to provide a theoretical basis for the subsequent research of image restoration method. Secondly, aiming at the problems of annular geometric distortion and spatial blur of the system image, the image restoration method is proposed based on ring block and regularization methodology. Experimental results show that under the condition of detector rotation speed ω |
| Databáze: | OpenAIRE |
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