Low-Rank Plus Sparse Trajectory Decomposition for Direct Exoplanet Imaging
- Resource Type
- Conference
- Authors
- Vary, Simon; Daglayan, Hazan; Jacques, Laurent; Absil, P.-A.
- Source
- ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2023 - 2023 IEEE International Conference on. :1-5 Jun, 2023
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Planets
Exoplanet
Imaging
Signal processing algorithms
Receivers
Trajectory
Sparse matrices
exoplanet detection
direct imaging
angular differential imaging
low-rank plus sparse matrix
- Language
- ISSN
- 2379-190X
We propose a direct imaging method for the detection of exo-planets based on a combined low-rank plus structured sparse model. For this task, we develop a dictionary of possible effective circular trajectories a planet can take during the observation time, elements of which can be efficiently computed using rotation and convolution operation. We design a simple alternating iterative hard-thresholding algorithm that jointly promotes a low-rank background and a sparse exoplanet foreground, to solve the non-convex optimisation problem. The experimental comparison on the β-Pictoris exoplanet benchmark dataset shows that our method has the potential to outperform the widely used Annular PCA for specific planet light intensities in terms of the receiver operating characteristic (ROC) curves.