Sort of. Satellite resources are surprisingly scarce, so a lot are focused where people are, i.e. land. Plus, for the imagery sats that are focused on the ocean, ships are also tiny in a literal ocean of blue. It’s just a spec. While the resolution could be good, have fun looking for that spec. That’s why most countries use signal collection to locate vessels at sea. (I’m over-simplifying a lot, but you get the picture)
There are a surprising amount of false positives when using object detection on maritime imagery. While a carrier is a spec, there are a ton of specs in the ocean that can look similar enough. Plus, weather has a huge hand to play. If it were always perfectly clear, then it’s an easier problem, but one cloud can really mess up the detection. Ultimately, ship detection is a difficult problem (not intractable but still hard).
False positives are fine, you assign 1, 10, 50, 100 analysts to review hits. You only need to find it once, then the search area becomes incredibly small for each subsequent satellite pass.
I’m not saying that it is easy, just that you don’t need to have a surface ship within 15 nm in order to see it.
You still need to know where to point that spy satellite’s camera at. If you take picture that covers hundreds of square kilometers then you don’t have enough resolution to spot the ship but you can’t zoom in much either because you don’t know where to zoom.
It’s different with buildings because you know where they are.
So satellites can see my truck’s plate but an aircraft carrier and it’s escrow fleet are too… Small?
Sort of. Satellite resources are surprisingly scarce, so a lot are focused where people are, i.e. land. Plus, for the imagery sats that are focused on the ocean, ships are also tiny in a literal ocean of blue. It’s just a spec. While the resolution could be good, have fun looking for that spec. That’s why most countries use signal collection to locate vessels at sea. (I’m over-simplifying a lot, but you get the picture)
Seems like an easy but tedious job. Something that a computer can do.
Object detection algorithms are incredibly fast and can learn to tell the difference between an aircraft carrier and an ocean.
There are a surprising amount of false positives when using object detection on maritime imagery. While a carrier is a spec, there are a ton of specs in the ocean that can look similar enough. Plus, weather has a huge hand to play. If it were always perfectly clear, then it’s an easier problem, but one cloud can really mess up the detection. Ultimately, ship detection is a difficult problem (not intractable but still hard).
False positives are fine, you assign 1, 10, 50, 100 analysts to review hits. You only need to find it once, then the search area becomes incredibly small for each subsequent satellite pass.
I’m not saying that it is easy, just that you don’t need to have a surface ship within 15 nm in order to see it.
It kind of sounds like you’re saying that. Anyways, there’s a reason submarines exist
It depends a great deal on if you have access to a real-time satellite feed and know where to look.
You still need to know where to point that spy satellite’s camera at. If you take picture that covers hundreds of square kilometers then you don’t have enough resolution to spot the ship but you can’t zoom in much either because you don’t know where to zoom.
It’s different with buildings because you know where they are.
It’s the ocean. The majority of Earths surface where there’s usually not much going on