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CX-6(02) micro-nano satellite super-resolution imaging

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Computation Optical Imaging Technology, Chinese Academy of Sciences, Beijing 100094, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：tanzheng@aoe.ac.cn
  • Introduction：谭政，1982年生，男，工程师，研究方向为计算光学成像、遥感数据增强。E-mail: tanzheng@aoe.ac.cn
Zheng TAN12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Computation Optical Imaging Technology, Chinese Academy of Sciences, Beijing 100094, China

  • Email：xiangli@aoe.ac.cn
  • Introduction：相里斌，1967年生，男，研究员，研究方向为光学工程、计算光学成像技术。E-mail: xiangli@aoe.ac.cn
Libin XIANG1*,  
  • Affiliation：

    Key Laboratory of Computation Optical Imaging Technology, Chinese Academy of Sciences, Beijing 100094, China

    University of Chinese Academy of Sciences, Beijing 100049, China

Qunbo LYU12,  
  • Affiliation：

    Key Laboratory of Computation Optical Imaging Technology, Chinese Academy of Sciences, Beijing 100094, China

Jianying SUN1,  
  • Affiliation：

    Department Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai 201203, China

Pingfu LI3,  
  • Affiliation：

    Department Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai 201203, China

Shuang GAO3,  
  • Affiliation：

    Department Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai 201203, China

Zengshan YIN3

реферат

Micro-nano satellite is one of the developing trends of remote sensing technology with the advantages of light-weight, small size, low cost. However, because of the limitation of the volume and weight, the traditional high resolution optical imaging payload with long focal length and large aperture is difficult to apply to earth observation of micro-nano satellite. In order to solve this problem, a super-resolution imaging scheme is demonstrated in this paper. First, in the mode of images acquisition, to obtain multi frame images of the same region, the velocity of imaging relative to the ground should be controlled by satellite attitude. And because the attitude control deviation of satellite is objective, so subpixel displacement information can be generated by pitching, yaw, and rolling random deviations, without to install any other displacement generators; Secondly, In the super-resolution reconstruction algorithm, aiming at solving the problem of prior constraints on variational bayesian super-resolution reconstruction method, we propose a weighted bi-directional difference prior model to overcome the under-constraint of non-edge regions of image due to total variation prior and L1 norm prior, to further restrain the solving space of the observation equation. The above scheme is applied to the China’s first super-resolution imaging micro-nano satellite:CX-6(02) micro-nano satellite. The imaging results of this satellite show that: our images acquisition method can obtain sufficient subpixel information, which is approximately uniformly distributed with 0.1 pixel magnitude; The result of super-resolution reconstruction is superior to the same variational bayesian method based on L1 norm prior model and total variation prior model, it is hardly to introduce or amplify the computational noise in the iterative process of the algorithm, effectively weakens the ill-posed property of the deconvolution operation. Make the CX-6(02) satellite’s imaging resolution increased from 2.8 to 1.4 meters in the 700 km orbit altitude, and the whole satellite is only 66 kg. Except for micro-nano satellite, the design scheme of this paper can also be applied to medium or large optical imaging satellite, it may provide a certain theoretical and experimental support for high resolution earth-observing remote sensing.

ключеви́че слова́

CX-6(02) micro-nano satellite;super-resolution imaging;images acquisition;reconstruction algorithm;variational Bayes;prior model

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