Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5486129 | Advances in Space Research | 2017 | 8 Pages |
Abstract
This paper presents a fast co-adding algorithm designed to stack the images coming from different channels of QCT in real-time. The algorithm calculates the transformation coefficients for every single exposure to eliminate the effects of the possible shifts of the lenses. The way of reprojection and co-adding applied here is a linear method similar to Drizzle, and a reasonable simplification is applied to accelerate the computation. All the calculation can be finished in about 100Â ms on a 3.4Â GHz CPU with 4 cores, which matches the needs for the observation of space debris perfectly, while the limiting magnitude is improved by about 0.8. The co-adding results of our algorithm are very close to SWarp's, even slightly better in terms of SNRs.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Space and Planetary Science
Authors
Yiding Ping, Chen Zhang,