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An international team of researchers has identified more than 109,000 unidentified archaeological craters on the Moon using machine learning methods.The study, conducted by researchers at Jilin University in China, is published in the journal Nature Communications.
Impact craters are the most important feature of the lunar surface and occupy most of it. Using traditional automatic identification methods, it is generally difficult to find irregular and severely degraded impact craters that
You may have trained in the early periods.
To determine Drilling Efficiently and estimating its lifespan, the researchers applied the transfer learning method and trained a deep neural network with predetermined drill data, according to the Xinhua News Agency.
By combining the data collected by Chinese lunar probe Chang’e-1 And for Chang’e-2, researchers identified 109,956 impact craters
They also estimated the age of 18,996 newly discovered craters over 8 km in diameter.
Meanwhile, researchers have created a new database of craters Lunar impact For the mid and low latitude regions of the Moon.
One of the researchers, Yang Chen from Jilin University, said the lunar crater database was of great value for scientific research on the moon and the strategy adopted could be applied to help studies. on the craters and generate reliable research proposals. Planets.
Yang added that this research model was applied to identify small craters at a landing site. The Chang’e-5 probe.
By country | BeLBaLaDy
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Source: “The delegation”
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