I'm of the understanding that this was not a single image, but a composite image, taking by different satellites, planes, and/or drones.
The US could have build test facilities in their deserts, have a 3-D model available for proper reconstruction, and then learn to stitch and skew back all imagery into a single composite image. There may even be some "filling in" or "sharpening" of pixels or textures that could not be observed, but are guessed from their context.
In the framework of composite imagery, it would indeed be possible to zoom in, until you get to camera's capturing road traffic (maybe the license plate was not observed in the moment the main photo was taken, but was remembered from an observation by traffic camera 30 minutes ago and stitched back onto the object: composite imagery through time).
Finally, you could use multiple non-image sources for the composition. If three (ground) sensors capture the noise, heat, or vibrations from a train on a train track, you can now triangulate and draw the location of that train on space photos at a timestamp of your choosing.
The US could have build test facilities in their deserts, have a 3-D model available for proper reconstruction, and then learn to stitch and skew back all imagery into a single composite image. There may even be some "filling in" or "sharpening" of pixels or textures that could not be observed, but are guessed from their context.
In the framework of composite imagery, it would indeed be possible to zoom in, until you get to camera's capturing road traffic (maybe the license plate was not observed in the moment the main photo was taken, but was remembered from an observation by traffic camera 30 minutes ago and stitched back onto the object: composite imagery through time).
Finally, you could use multiple non-image sources for the composition. If three (ground) sensors capture the noise, heat, or vibrations from a train on a train track, you can now triangulate and draw the location of that train on space photos at a timestamp of your choosing.