Given A Satellite Image, Machine Learning Creates The View On The Ground 

machine learning

famously created drawings and paintings that showed a bird’s eye view of certain areas of Italy with a level of detail that was not otherwise possible until the invention of photography and flying machines. Indeed, many critics have wondered how he could have imagined these details. But now researchers are working on the inverse problem: given a satellite image of Earth’s surface, what does that area look like from the ground? How clear can such an artificial image be?

Today we get an answer thanks to the work of and colleagues  at the , . These guys have trained a algorithm to create simply by looking at from above.

The technique is based on a form of machine learning known as a . This consists of two called a generator and a discriminator.

Read More: MIT Technology Review

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