The Application of Artificial Intelligence and Deep Learning to Visually Identify Micrometeoroid and Orbital Debris ImpactsRecent advancements in Artificial Intelligence (AI) have made Machine Learning (ML) techniques readily available for practical applications while using a fraction of time that was previously required. In particular, the use of Deep Learning (DL) algorithms has advanced the field of image and pattern recognition. With the use of Deep Learning algorithms, Micrometeoroid and Orbital Debris(MMOD) penetrations can be identified with high accuracy and give possibilities to new understandings of hypervelocity impacts.
Document ID
20240010307
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
Authors
Cameron M Collins (Jacobs (United States) Dallas, Texas, United States)
Dana M Lear (Johnson Space Center Houston, United States)
Kenton R Fisher (Johnson Space Center Houston, United States)
Date Acquired
August 8, 2024
Subject Category
Cybernetics, Artificial Intelligence and RoboticsSpace Transportation and Safety