| Author | Search for: King, Matthew1; Search for: Lamontagne, Philippe1; Search for: Poirier, Louis1; Search for: Taylor, Rocky; Search for: Briggs, Robert1 |
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| Affiliation | - National Research Council of Canada. Ocean, Coastal and River Engineering
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| Format | Text, Article |
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| Conference | SNAME Maritime Convention 2022, september 26-29, 2022, Houston, Texas, US |
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| Physical description | 21 p. |
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| Subject | sea ice; maritime safety; machine learning; AI; computer vision; industry trends and new technologies |
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| Abstract | Visual data is abundantly available and provides rich information about real-world objects. Computer vision is a substantial and growing field, which seeks to distill useful information from photographic imagery. The primary focus of this work centers on the application of machine learning based computer vision algorithms in order to produce characterizations of the visible sea ice conditions. The specific task approached herein is known as semantic segmentation; the methodology by which each region of an image, at an individual pixel level, is assigned a classification from a predetermined set of possible classes. |
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| Publication date | 2022-09-26 |
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| Publisher | SNAME |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | bf5c5d0e-d6f0-47dd-b5f2-e56c98479af8 |
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| Record created | 2022-09-27 |
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| Record modified | 2022-09-27 |
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