I was having difficulty figuring this out. I have an image with 7 600s DSLR subs, one having a satellite trail. Turning on Large-Scale Pixel Rejection (reject high) at the defaults of 2 and 2 seemed to do nothing, and raising the values higher yielded no improvement. I eventually found the secret sauce for this image to be lowering layers (high) to 1 and increasing growth (high) to 7. This, at last (and with default sigmas), completely eliminated the satellite trail in the integrations.
I am just starting to scratch the surface on the new 1.8.5 tools, but this one is magical in its results. I am going back to redo old processing projects and am amazed at the improvement generated by large-scale pixel rejection when I compare the old results with the new. It just about eliminates the distracting blotchiness in my backgrounds and otherwise makes for a far cleaner image, with no discernable damage to good signal. And the high and low rejection maps are things of beauty in showing the problem areas that have been fixed.
I am not having that great of results using ImageIntegration and large-scale pixel rejection to remove the satellite streak superhighway in my images. I have posted over on "Image Processing Challenges" (https://pixinsight.com/forum/index.php?topic=13238.msg80235#msg80235) the info and a link to my data. Maybe some of you could please take a look and tell me what I can do?
I just wanted to say I tested this script by comparing results with the old one and wow what an improvement. I had six discernible satellite trails in the integrated image with the old script and the new script virtually eliminated all traces. Just in time for Starlink-ageddon, thank you!