Sorting through satellite imagery is tough. There are tons and tons of material, only a fraction of which can be reviewed in anything resembling a timely fashion. And very little of that is of any military use at all. Software systems can help, a bit. But, according to the mad scientists at Darpa, “the human visual system is still the best target detection apparatus” there is.
The agency would like to harness that system better. Not just the conscious mind. But the automatic and instant firing of neurons that goes on every time we take a look at something.
“Preliminary research shows that an analysts brain registers the discovery long before the [imagery] analyst becomes cognitively aware of it. Thus, the brain can signal the discovery three times faster than the analyst can respond,” agency program manager Amy Kruse told the DarpaTech conference last August.
As part of her “Neurotechnology for Intelligence Analysts” (NIA) effort, Kruse wants researchers to “discover and characterize the neural signatures for target detection events in the human brain.” The goal of the year-long study is to demonstrate “an image ‘triage’ system in which subjects are rapidly shown static imagery. Signals are classified in real time and the corresponding imagery shown is then sorted based on the classification of the neural signatures into sets of images that contain targets/regions of interest versus those that contain none.“
Lotsa luck.
Mind Meld for Sat Sort
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ummm…yeaaahhhhh. There’s a reason for the brain operating this way. It’s called Quality Control. Sure it identifies the anomaly earlier, but how’s it supposed to know it’s a true anomaly before it scans the rest of the image for similar anomalies? The great thing about the human brain, is that it has great redundancy. It does automatic ‘self-checks’ constantly, which help to eliminate alot of actions based on inaccurate or improper information.
They need to be spending their time on how the brain can deal with successful intimidation operations and not on automatic target recognition in single channel satellite images.