Presentation + Paper
7 October 2019 Super-resolution imaging design for CX6-02 micro-satellite
Author Affiliations +
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Tan, Qunbo Lyu, Jianying Sun, Jianwei Wang, and Na Zhao "Super-resolution imaging design for CX6-02 micro-satellite", Proc. SPIE 11155, Image and Signal Processing for Remote Sensing XXV, 111550B (7 October 2019); https://doi.org/10.1117/12.2532995
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KEYWORDS
Super resolution

Reconstruction algorithms

Image resolution

Imaging systems

Signal to noise ratio

Satellite imaging

Satellites

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