University of Illinois Urbana-Champaign

Subpixel multiframe registration for formation flying spacecraft

Widloski, Evan

Content Files
WIDLOSKI-THESIS-2020.pdf

Permalink

https://hdl.handle.net/2142/109458

Description

Title
Subpixel multiframe registration for formation flying spacecraft
Author(s)
Widloski, Evan
Issue Date
2020-12-11
Director of Research (if dissertation) or Advisor (if thesis)
Kamalabadi, Farzad
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2021-03-05T21:38:27Z
Keyword(s)
  • image registration
  • signal processing
  • remote sensing
  • formation flying
Abstract
This thesis develops a multiframe image registration algorithm to accurately estimate the motion parameters of a sequence of images with constant linear translation between frames. The algorithm is developed with formation flying applications in mind, where such motion is common. The algorithm is non-iterative (obtaining a registration estimate in a fixed amount of time), efficient (requiring only FFT and spatial scaling operations), and parameterless (requiring no tuning for image classes). Additionally, the algorithm performs well under extreme levels of noise, obtaining an accurate motion estimate even when individual frames are so severely degraded that high-frequency structures are no longer visible in the individual frames. The algorithm is tested against synthetic noisy frames which have been generated by a computational pipeline designed to simulate observations that will be made by the VIrtual Super-resolution Optics with Reconfigurable Swarms (VISORS) Cubesat mission, set to be launched in 2023.
Graduation Semester
2020-12
Type of Resource
Thesis
Permalink
http://hdl.handle.net/2142/109458
Copyright and License Information
Copyright 2020 Evan Widloski

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