OVERVIEW
The proposed approach includes three high level steps:
- Background estimation and removal.
- Transformation of the multi-spectral foreground image pixels into a feature space based on matched filtering.
- Perform Bayesian inference on the feature space to produce a likelihood ratio which can be thresholded for planet detection.
The initial focus is on background estimation and removal, since backgrounds must be successfully estimated and removed before later steps in the pipeline can be used. Initial findings during the background estimation development may also lead to revised ideas for the later steps.