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Title:Subpixel multiframe registration for formation flying spacecraft
Author(s):Widloski, Evan
Advisor(s):Kamalabadi, Farzad
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2020-12-11
Type:Thesis
URI:http://hdl.handle.net/2142/109458
Rights Information:Copyright 2020 Evan Widloski
Date Available in IDEALS:2021-03-05
Date Deposited:2020-12


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