In most amateur imaging you can trade time for quality. By stacking enough images, satellite trails get averaged out of the final image.
Very high end amateurs get pissy about it because they paid a lot of money for high end equipment to minimize imaging times, but for the rest of us it’s not a huge impediment as we already needed lots of subframes to get high SNR anyways.
Averaging isn't the only option. It's possible to use other image-processing techniques which look at outlier values. This is way outside my area of expertise, but I believe sigma clipping is one of the standard go-tos, see:
<https://www.gnu.org/software/gnuastro/manual/html_node/Sigma...>.
More generally, you're clipping outliers:
<https://www.gnu.org/software/gnuastro/manual/html_node/Clipp...>.
This applies not only to satellite tracks, but meteors, cosmic rays, and other artefacts introduced into image capture. The techniques should be generally applicable, though for those who are specifically exploring transitory phenomena, this introduces additional challenges.