Super resolution is a thing but I think they mean to just take the differences and track based on the motions in that data directly. Any deltas which appear to move in a certain way are likely to be aircraft, especially if the same deltas show up on a 2nd camera, even if they aren't clear enough to directly identify. Basically the motion vector estimation step of video encode but tuned really tight and ignoring motions that don't look like aircraft motions.

I'm not sure this is really all that perfect/foolproof though, especially with 8k visible light cameras. For one, clouds can be quite the problem (even at non-visible wavelengths). Atmospheric turbulence can also be annoying and the air can be plain hazy depending on the day - both limit detection accuracy at a given range. When night comes the detection ability is greatly hampered even with additional wavelengths (and IR has lower resolution anyways).

It worked well enough in a weekend project many years back to use computer vision (the craze at the time) and compare to an ADS-B make by using a 4k 1 FPS image feed in a weekend project to mess with computer vision a decade back. I definitely see it as a valid addition to a detection system... but I would stop short of writing a "Military Dumbfounded at This One Simple Trick" article about it.