A Chinese company’s publication of AI-enhanced satellite images of US bases in the Middle East is helping Iranian forces identify targets, US intelligence believes.
The ABC has been briefed on the intelligence by a source inside US defence, who says the images are endangering lives.
Chinese geospatial artificial intelligence and software company MizarVision, which the Chinese government has a small ownership stake in, has been publishing detailed satellite images with tagging data of multiple US military sites in the lead-up to, and during, the Iran war.
The imagery showcases an AI tool that identifies and tags military forces across vast areas, a capability that once required the resources of a national intelligence agency.
I think this is a war of colonization that the United States is waging.
Fitting, considering this war is merely a steppingstone to war with China.
“Fool! You fell victim to one of the classic blunders. The most famous is 'Never get involved in a land war in Asia,’ but only slightly less well known is this: ‘Never go in against a Sicilian when death is on the line.’”
if it is, the USA is completely fucked… no amount of money can overcome this level of ineptitude
Not surprised at all. Don’t fucking pretend China was not in game…
Good to know that Russia isn’t helping its allies with their intelligence. In that case Trump would be very upset, if he could think.
both russia and china specifically, they both have satellites.
common China W
China as a state, just like the US, is a massive piece of shit. It does not need deference.
f*k anarchists, all my homies hate anarkkkiddies
Lemmy get this straight. The Trump admin was fine with satellite data being shared for all these years and then they commit a warcrime where the data is used to verify it indeed was a warcrime and now they want satellite data banned.
HMMMMMMMMMM
Oh no! Anyway…
“Endangering lives”? Iran striking US bases will almost certainly lead to fewer lives lost.
HumanAmerican lifes.
For people who don’t know, chine doesn’t have satellite imagery with the same spatial resolution as the private companies like planet labs (the who recently prohibited to publish imagery from the war region) so , but they have been investing a lot into super-resolution technology to compensate. This is much more interesting than it can look at a first glance.
Super-resolution as using generative models to “enhance” subresolution images with enough of the right training data?
Oh, that kind of super-resolution has been gaining media attention, but there’s much more beyond the “ai”. There are several mathematical methods, based on inverting a point-spread-function, statistical methods, super-resolution based on extracting subpixel information from a sequence of low resolution images, and several other methods and approaches, including the use of machine learning, but not in the generative way. It’s a very diverse and complex field of research
super-resolution based on extracting subpixel information from a sequence of low resolution images
So basically DLSS for spy satellites. Kinda neat.
DLSS is essentially an advanced interpolation algorithm, it makes a guess of what should be in between two know pixel values. This can be very useful for human operators who need to look at the data. It also has the advantage that you only need a trained model and one image frame at a time. Some ‘superresolution’ methods essentially do this, but ideally you don’t use this until after you’ve applied mathematically correct techniques.
Superresolution methods exist in many forms. Basically all of them require either some prior knowlegde (or assumption) of what you’re looking at or it takes a lot of data. But once you have this, you can go beyond the optical resolution of your system in a mathematically correct way, you don’t have to guess!
Some examples:
- Lens correction: it’s possible to determine how imperfections in your lens affect the image, then correct for this. With this prior lens knowledge your images will be nearly as good as those from a theoretical perfect lens. However, you’re still limited by the (diffraction limit) laws of physics, regardless of how (im)perfect your lens is.
- Deconvolution: from physics it’s known how light diffracts (bends) and how this leads to optical limitations. Through deconvolution you can undo this. This takes a lot of guess work to find the correct solution, but once you have the solution, you can check that it’s mathematically correct (it’s a bunch of fancy integrals).
- Using information of multiple pixels v1: if an object in your image consists or more than one pixel, you have more information to determine where exactly this object is. If you know the shape of the object (e.g. a circle) you can make a fit to it and determine some properties extremely accurately (e.g. the circle center of a 1 μm particle can routinely be determined to a 10 nm resolution by a microscope that has an optical resolution of 200 nm). This method requires prior knowledge of the shape! Planes and oil storage tanks have known shapes…
- Using information of multiple pixels v2: theoretically you just need more information to go beyond the optical resolution. This can be done by taking many images (from slightly different positions?) of the same field of view. I don’t know how this works, but I have no doubt that there are people doing this.
No, not exactly. More like how astrophotographers will stack images to compensate for imaging defects. After all, the Hubble was a variant of an NSA spy satellite.
Horrors. China is doing something the USA thinks only they are allowed to do.
Russia and China watch US pull a Ukraine and now have an extremely cost-effective way of harming or outright destroying US assets similar to US dumping its spare power into the Ukraine conflict.
They’d be fools not to take advantage of the opportunity, but not nearly as foolish as we were for entering this pointless war in the first place.
It’s not pointless, the idea is to destroy the only remaining impediment to Israel’s growth. With Iran removed from the picture, the whole region can be turned into a charnel house, with Israeli settlements and startups built upon the bones of the slaughtered Arabs. The whole middle east replaced by a second America, but even more fascist.
US is learning the hard way what “soft power” means, and what it means to lose it.
Tbf the US never had that much power, soft or otherwise, over China. The US is (very fortunately) hemorrhaging soft power, but even if they weren’t China would be jumping at this opportunity.
I’d say they’re hemorrhaging hard power too, the US strategy was always to immediately establish air dominance and then win from there, but it turns out that step 1 kinda just doesn’t work against people armed with more than old toyotas and tents. I’d still bet on the US to win if they just wanted to flatten some place but I’ve got serious questions on their ability to achieve a non-phyric victory against any near-peer after this display.
I don’t think it’s so much about US having soft power over China. I agree they have always been highly resistant to it. The important bit is that Chinas soft power is growing faster than probably any nation’s has since post WW2 US while US hemorrhages what little they have left in the coffers.
I don’t present this as a good thing uniformly, because China is certainly capable of becoming fascist in a single generation too. I think this sort of power in general is problematic.
They’re close to the “learning” part but, if the news is any indicator, they’re still a ways off.
Something about horses and water.
The ABC has been briefed on the intelligence by a source inside US defence, who says the images are endangering lives.
I see. The images are endangering lives. Not the moronic decision to start a war, no no.
“Only we can kill!”
Breaking news: Iran’s allies help them against an invading force.
