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NASA NTRS · 20240010307

The Application of Artificial Intelligence and Deep Learning to Visually Identify Micrometeoroid and Orbital Debris Impacts

Cameron M Collins·Dana M Lear·Kenton R Fisher
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Abstract

Recent 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.

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Deep LearningArtificial IntelligenceMachine LearningHypervelocity ImpactsPattern RecognitionMicrometeoroid and Orbital DebrisMMOD Shielding

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Cameron M Collins, Dana M Lear, Kenton R Fisher. The Application of Artificial Intelligence and Deep Learning to Visually Identify Micrometeoroid and Orbital Debris Impacts. https://ntrs.nasa.gov/citations/20240010307

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