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.
yea, good observation, my guess is its the data more than the filter. OSM coastline polygons are generalized to different degrees depending on who traced them and from what imagery, so the fine shape detail a halo check would key on often is not in the geometry at all.
I observed that at the end, didnt push on it further though. It already passed and I was super exhausted
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.
haha, thanks :D
I was hesitant to whether write it or not,
but I really really despise llm generated posts and blogs
and im glad someone appreciated it
they literally memorize and get patterns of every possible road, place, map of any area (scanned by google earth), getting exact coordinated 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
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
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.
yea, good observation, my guess is its the data more than the filter. OSM coastline polygons are generalized to different degrees depending on who traced them and from what imagery, so the fine shape detail a halo check would key on often is not in the geometry at all.
I observed that at the end, didnt push on it further though. It already passed and I was super exhausted
I read all the process, literally awesome, i don't do OSINT (i know only what is this) and i think that's very cool
thaaank you !! Its my first ever challenge to do, and yea, I really found my passion
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.
yea , heard about them before, but didnt know that whole treasure till I really used it , impressive
> NOTE: this is a genuine human work, didnt use LLM generation.
A million upvotes from me.
haha, thanks :D I was hesitant to whether write it or not, but I really really despise llm generated posts and blogs and im glad someone appreciated it
really impressive, could that be the way to locate yourself without GPS? assuming we know more/less where we are
yea, search about geoguessing on youtube, people like Rainbolt, https://www.youtube.com/@georainbolt
they literally memorize and get patterns of every possible road, place, map of any area (scanned by google earth), getting exact coordinated 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
great blog and great writeup
thannks, really grateful :D
impressive