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Chinese scientists applied a specially developed new technology to laserranging(激光测距) telescopes, which enabled them to identify space waste more effectively than previous techniques, according to a study published in the Journal of Laser Applications.“After improving the pointing accuracy of the telescope through a neural(神经的) network, space debris(碎片) with a cross sectional area of one square meter (10 square feet) and a distance of 1,500 kilometers (932 miles) can be identified,” Tianming Ma, an author of the study from the Chinese Academy of Surveying and Mapping, Beijing and Liaoning Technical University, Fuxin, said in a statement.
Debris can include nonfunctional spacecraft, abandoned launch vehicle stages, and other missionrelated space waste.It is very dangerous for astronauts and spacecraft in orbit above the Earth as they travel very fast—up to 18,000 miles per hour.Worryingly, there are probably many millions of tiny debris pieces in lowEarth orbit, and tens of thousands larger than a softball, NASA said.Fortunately, there have been surprisingly few collisions.
Laserranging technology has previously been used to find space waste.However, these systems have their limitations when it comes to accurately identifying small, fastmoving pieces.In fact, previous laserranging methods have only been accurate to within about 0.6 miles.
In an attempt to overcome the inaccuracies in laserranging techniques, the Chinese team used socalled neural networks to improve the effectiveness of their telescope system.Neural networks are computing systems which are inspired by biological networks in the brain.They can learn to become better at tasks without being given a specific set of rules to follow.Ma and his team tested this method against more traditional techniques at the Beijing Fangshen laser range telescope station.According to the team, this is the first time that neural network has been used to significan