Skip to main navigation Skip to search Skip to main content

Multi-frame image restoration method for novel rotating synthetic aperture imaging system

  • Beijing Institute of Tracking and Telecommunications Technology
  • University of Trento
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The novel rotating synthetic aperture (RSA) optical imaging system is an important development direction for future high-resolution optical remote sensing satellites in geostationary orbit. However, owing to the rotating rectangular pupil, the point spread function of the RSA system has an asymmetric spatial distribution, and the images obtained using the primary mirror from different rotation angles have nonuniform blur degradation. Moreover, platform vibration and pupil rotation have coupling effects on the RSA imaging, resulting in further radiometric and geometric quality degradation. To address these problems, the image degradation characteristics are first analyzed according to the imaging mechanism. Then, combined with the theory of mutual information, an image registration method is suggested by introducing the orientation gradient information. From this, a multi-frame image restoration model is proposed based on the directional gradient prior of the RSA system image. From the perspective of interpretation and application, when the aspect ratio is less than 3, the proposed inversion restoration method can achieve a satisfactory processing performance. This work can provide engineering application reference for the future space application of RSA imaging technology.

Original languageEnglish
Article number103991
JournalResults in Physics
Volume23
DOIs
StatePublished - Apr 2021

Keywords

  • Directional gradient prior
  • Multi-frame image restoration
  • Rectangular pupil
  • Rotating synthetic aperture

Fingerprint

Dive into the research topics of 'Multi-frame image restoration method for novel rotating synthetic aperture imaging system'. Together they form a unique fingerprint.

Cite this