Write a comment
An international team of researchers has identified over 109,000 previously unrecognized impact craters on the moon using machine learning methods.
The study, led by researchers from Jilin University, was published in the journal Nature Communications.
Impact craters are the most prominent lunar surface feature and occupy most of the moon's surface. With traditional automatic identif An international team of researchers has identified over 109,000 previously unrecognized impact craters on the moon using machine learning methods.
The study, led by researchers from Jilin University, was published in the journal Nature Communications.
Impact craters are the most prominent lunar surface feature and occupy most of the moon's surface. With traditional automatic identification methods, it is generally difficult to find irregular and seriously degraded impact craters that may have formed in the early periods.
In order to effectively identify craters and estimate their age, researchers applied a transfer learning method and trained a deep neural network with the data of previously identified craters.
By combining the data collected by China's Chang'e 1 and Chang'e 2 lunar probes, researchers identified 109,956 new impact craters. They also estimated the ages of 18,996 newly detected craters larger than 8 km in diameter.
Meanwhile, researchers have established a new lunar impact crater database for the mid- and low-latitude regions of the moon.
Yang Chen of Jilin University, who is one of the researchers, said the lunar crater database is of great value to scientific research on the moon.
"The adopted strategy can be applied to assist crater studies, generating reliable suggestions for planetary research," Yang said.
This research model has been applied to the identification of small impact craters at the Chang'e 5 probe's landing site, Yang added.
Source: Xinhua News Agency
Related Links
Lunar Exploration and Space Program
Mars News and Information at MarsDaily.com
Lunar Dreams and more
|
| Tweet |
| Thanks for being here;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain. With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords. Our news coverage takes time and effort to publish 365 days a year. If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution. | ||
| SpaceDaily Contributor
$5 Billed Once credit card or paypal |  | SpaceDaily Monthly Supporter
$5 Billed Monthly paypal only |
UCF developed sensor passes first test, on track for future moon missions
Orlando FL (SPX) Dec 21, 2020
A prototype sensor that detects Moon dust by shooting lasers through the sky has successfully completed its first hurdle. That means UCF is one step closer to building the real instrument that could fly to the moon on a future mission. UCF researchers designed the Ejecta STORM instrument to scan the area around a lunar lander for moondust and other hazards based on a concept planetary scientist Phil Metzger came up with about 10 years ago. Ejecta STORM stands for the Ejecta Sheet Tracking, Opacity ... read more