DMTN-197: Streak Masking in DM Image Processing
- Department of Astrophysical Sciences, Princeton University
Streaks caused by satellites are a persistent problem in optical images, and their occurrence will likely increase in the coming years. Many Hyper Suprime-Cam images are already affected by streaks, and the same is expected for Rubin Observatory data. In the LSST Data Release Production (DRP), most streaks and other artifacts are already detected and masked by the algorithm CompareWarpAssembleCoadd. However, some streaks are not caught at this stage and can contaminate the final coadds and detection catalogs. To find and mask these, we adopt a morphologically-based method for detecting streaks, which uses the Kernel-Based Hough Transform to detect straight lines. Once the lines are detected, the streak profile is fit and the affected portion of the image is masked out. This algorithm, maskStreaks, is included in the meas_algorithms package and is used in CompareWarpAssembleCoadd to remove streaks from coadds. Similar implementation in the Alert Production Pipeline is possible but has not been implemented.
- Research Organization:
- NSF-DOE Vera C. Rubin Observatory
- Sponsoring Organization:
- U.S. National Science Foundation; U.S. Department of Energy Office of Science
- DOE Contract Number:
- AC02-76SF00515
- OSTI ID:
- 2586496
- Report Number(s):
- Vera C. Rubin Observatory Data Management Technical Note DMTN-197
- Country of Publication:
- United States
- Language:
- English
Real-time line detection through an improved Hough transform voting scheme
|
journal | January 2008 |
Use of the Hough transformation to detect lines and curves in pictures
|
journal | January 1972 |
DMTN-080: Coaddition Artifact Rejection and CompareWarp
|
dataset | January 2018 |
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