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OpenStreetMap data really is a godsend for such OSINT purposes. Works much better in populated areas too, with more features like roads, shops, electric lines that can be used to search.
really impressive, could that be the way to locate yourself without GPS? assuming we know more/less where we are
they literally memorize and get patterns of every possible road, place, map of any area (scanned by google earth), getting exact coordinates from single image, and play competitions and world cup based on that
they do really nice videos about finding places in old photos people ask for
> NOTE: this is a genuine human work, didnt use LLM generation. A million upvotes from me.
It’s interesting that most top contenders don’t pass the eyeball halo check, seems like there’s room to optimize that filter in code.
I observed that at the end, didnt push on it further though. It already passed and I was super exhausted
For drones and missiles, this technique is known as Terrain Contour Matching . If terrain contour are measured optically, navigation is independent of RF jamming, unlike GNSS. https://en.wikipedia.org/wiki/TERCOM
Excellent write up and an enjoyable read! Reminds me of the “good old times” where posts on HN were written by humans and with a specific writing style like yours. You could’ve used a little bit more of geoguessing to narrow down results, or do a brute force visual check on the last hundred or so ;-)