Teledyne CARIS’ Burns Foster debuted advanced algorithms

Teledyne CARIS unveiled the hydrographic industry’s first use of machine learning for sonar noise removal at Shallow Survey 2018. Burns Foster, Manager of New Product Initiatives, Teledyne CARIS spoke on the topic of ‘Advancing Hydrographic Data Processing through Machine Learning’. Attendees learnt how this newly assembled machine-learning algorithm is being used to automatically identify and remove common types of noise in sonar systems. Bill Lamey, VP of Product Development, Teledyne CARIS stated, “The potential benefits of machine-learning in this industry are time savings and consistency. This is based on the larger community’s collective expertise in bathymetric processing gained over many years.”

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