AI Breakthrough Maps Earth From Space With 97% Accuracy
What if a computer could read satellite photos as accurately as a human expert, without any prior training? Scientists have achieved just that by designing a new AI brain that looks at both the shape and the color of every pixel—much like how we notice a building’s outline and its paint.
This balanced multi‑task attention system reached a stunning 97.
23% accuracy on the EuroSAT benchmark, matching the performance of massive pre‑trained models while using far fewer resources.
The result means faster, cheaper monitoring of forests, farms, and cities, giving climate watchdogs and planners a sharper eye on the planet.
Think of it as giving the AI a pair of glasses that perfectly balances focus on fine details and the big picture.
As we watch Earth from above, this discovery reminds us that smarter, leaner technology can help protect our world—one satellite image at a time.
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Read article comprehensive review in Paperium.net:
Balanced Multi-Task Attention for Satellite Image Classification: A SystematicApproach to Achieving 97.23% Accuracy on EuroSAT Without Pre-Training
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