Researchers from the University of Aberdeen develop an AI algorithm to detect planetary craters with high accuracy, efficiency, and flexibility.
has developed a new algorithm that could revolutionize planetary studies. The new technology enables scientists to detect planetary craters and accurately map their surfaces using different data types, according to a release.Segment Anything Model
, an artificial intelligence model that can automatically identify and cut out any object in any image. The Segment Anything project aims to democratize image segmentation, a core task in computer vision, by introducing a general, promptable segmentation model and a new dataset. SAM is trained on a diverse, high-quality dataset of over 1 billion masks and is flexible enough to cover a broad set of use cases.The technique could be a "game-changer" in planetary science, reducing the need to manually identify craters, which can be time-consuming.
The technology could also help identify possible landing sites for robotic or human missions, leading to automatic navigation based on terrain observations. Furthermore, the CDA approach could help identify locations where resources, such as water ice, may be concentrated, which can be important for future human missions and resource utilization strategies in space exploration scenarios.
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