Aldozan
Member
Hi, I just want to share my experience in removing satellite tracks from frames.
I had two subframes with strong tracks:
(already calibrated, CC, weighted, registered, drizzle and ln)
First Image Integration run applying Avereged Sigma Clipping (9 subframes) and default sigma values:
tracks are still well visible.
Best result obtained after tweaking sigma high to 1.5:
better, but still visible.
New approach, following this post: https://pixinsight.com/forum/index....zed-deviate-test-rejection.15698/#post-108259 and using Generalized Extreme Studentized Deviate with 0.77 ESD outliers and 0.79 ESD significance:
better, but tracks are still there and general quality of the image is deteriorated
Last chance, using Robust Chauvenet Rejection algorithm with RCR limit 0.8, range low 0, range high .98:
Finally tracks are out, but image has a lower SNR.
Conclusion: in this case at least, Yes you can remove tracks from your image, but you have to balance that with the lower SNR level of the integration. On a stack of 9 subframes my choice is to go with RCR, and when I run integration also with subframes from other session (46 images) I simply drop the two with the tracks.
This is my very, very little wisdom pill on satellite tracks removal. I would like to know other experience and learn from that.
I had two subframes with strong tracks:
![track01.jpg track01.jpg](https://pixinsight.com/forum/data/attachments/16/16357-e7958e18c71483eaaf625c6db2b843f7.jpg)
![Track02.jpg Track02.jpg](https://pixinsight.com/forum/data/attachments/16/16358-97c7c01d3ac8783a8e07e12c0789f876.jpg)
(already calibrated, CC, weighted, registered, drizzle and ln)
First Image Integration run applying Avereged Sigma Clipping (9 subframes) and default sigma values:
![int_std.jpg int_std.jpg](https://pixinsight.com/forum/data/attachments/16/16360-45dc9fa05c56c1675025d1013136ba89.jpg)
Best result obtained after tweaking sigma high to 1.5:
![int_tweak.jpg int_tweak.jpg](https://pixinsight.com/forum/data/attachments/16/16361-e94ba823d599f59f3112e449f9b4381d.jpg)
New approach, following this post: https://pixinsight.com/forum/index....zed-deviate-test-rejection.15698/#post-108259 and using Generalized Extreme Studentized Deviate with 0.77 ESD outliers and 0.79 ESD significance:
![ESD.jpg ESD.jpg](https://pixinsight.com/forum/data/attachments/16/16362-10358f720a84a8385479abb7e6d39df0.jpg)
Last chance, using Robust Chauvenet Rejection algorithm with RCR limit 0.8, range low 0, range high .98:
![RCR.jpg RCR.jpg](https://pixinsight.com/forum/data/attachments/16/16366-e504b8ed39fa5cc93f43440d99fd0114.jpg)
Conclusion: in this case at least, Yes you can remove tracks from your image, but you have to balance that with the lower SNR level of the integration. On a stack of 9 subframes my choice is to go with RCR, and when I run integration also with subframes from other session (46 images) I simply drop the two with the tracks.
This is my very, very little wisdom pill on satellite tracks removal. I would like to know other experience and learn from that.