Chao Wang, Chinese University of Hong Kong (CUHK); Robert Plemmons, Wake Forest University; Sudhakar Prasad, University of New Mexico; Raymond Chan, Chinese University of Hong Kong (CUHK); Mila Nikolova, ENS Cachan, University of Paris-Saclay
https://doi.org/10.64861/DWDY3371
Keywords: 3D localization, image rotation, space debris, sparsity based non-convex optimization algorithms, image processing
Abstract:
An optical imager that exploits off-center image rotation to encode both the lateral and depth coordinates of point sources in a single snapshot can perform 3D localization and tracking of space debris. When actively illuminated, unresolved space debris, which can be regarded as a swarm of point sources, can scatter a fraction of laser irradiance back into the imaging sensor. Determining the source locations and fluxes is a large-scale sparse 3D inverse problem, for which we have developed efficient and effective algorithms based on sparse recovery using non-convex optimization. Numerical simulations illustrate the efficiency and stability of the algorithms.
Date of Conference: September 11-14, 2018
Track: Poster