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Super-resolution imaging design for CX6-02 microsatellite
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Paper Abstract

This paper aims at a novel super-resolution imaging design scheme for CX6-02 micro-satellite. In the design of super resolution reconstruction algorithm, under the framework of the hierarchical bayesian, an improved L1 norm prior model based on gradient adaptation is proposed, to avoid the amplification of noise while deconvolution. In imaging mode and system design, the satellite attitude control deviation and ground velocity compensation are used to obtain multi-frame images with sub-pixel information, and in order to exploit the potential of the reconstruction algorithm, the parameters of the optical system are designed by means of high availability redundancy. These make the CX6-02 satellite’s imaging resolution increased from 2.8 to 1.4 meters in the 700km orbit altitude, the whole satellite is 66kg.

Paper Details

Date Published: 7 October 2019
PDF: 8 pages
Proc. SPIE 11155, Image and Signal Processing for Remote Sensing XXV, 111550B (7 October 2019); doi: 10.1117/12.2532995
Show Author Affiliations
Zheng Tan, Academy of Opto-Electronics (China)
Qunbo Lv, Academy of Opto-Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Jianying Sun, Academy of Opto-Electronics (China)
Jianwei Wang, Academy of Opto-Electronics (China)
Na Zhao, Academy of Opto-Electronics (China)


Published in SPIE Proceedings Vol. 11155:
Image and Signal Processing for Remote Sensing XXV
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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