Point Spread Function Engineering for 3D Imaging of Space Debris Using a Continuous Exact ℓ0 Penalty (CEL0) Based Algorithm

Chao WANG*, Raymond H. CHAN, Robert J. PLEMMONS, Sudhakar PRASAD

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

We consider three-dimensional (3D) localization and imaging of space debris from only one two-dimensional (2D) snapshot image. The technique involves an optical imager that exploits off-center image rotation to encode both the lateral and depth coordinates of point sources, with the latter being encoded in the angle of rotation of the PSF. We formulate 3D localization into a large-scale sparse 3D inverse problem in discretized form. A recently developed penalty called continuous exact ℓ0 (CEL0) is applied in this problem for the Gaussian noise model. Numerical experiments and comparisons illustrate the efficiency of the algorithm.

Original languageEnglish
Title of host publicationMathematical Methods in Image Processing and Inverse Problems, IPIP 2018
EditorsXue-Cheng TAI, Suhua WEI, Haiguang LIU
PublisherSpringer
Pages1-12
Number of pages12
ISBN (Electronic)9789811627019
ISBN (Print)9789811627002
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventInternational Workshop on Image Processing and Inverse Problems, IPIP 2018 - Beijing, China
Duration: 21 Apr 201824 Apr 2018

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume360
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

ConferenceInternational Workshop on Image Processing and Inverse Problems, IPIP 2018
Country/TerritoryChina
CityBeijing
Period21/04/1824/04/18

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.

Keywords

  • 3D localization
  • Nonconvex optimization algorithms
  • Point spread function
  • Space debris

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