Subpixel multiframe registration for formation flying spacecraft
Widloski, Evan
Loading…
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
