Identifying Sea Ice Ridging in SAR Imagery using various Machine Learning Models
Sea ice ridging presents a great challenge to ships navigating thearctic. In this paper, we examine the capabilities of various machinelearning methods in predicting regions of high ridge density fromSAR imagery of Hudson Strait. Our results showed that althoughridging in Hudson Strait may be diffic...
| Main Authors: | , |
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| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
University of Waterloo (Waterloo, Ontario, Canada)
2020
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| Subjects: | |
| Online Access: | https://openjournals.uwaterloo.ca/index.php/vsl/article/view/1643 |
| Summary: | Sea ice ridging presents a great challenge to ships navigating thearctic. In this paper, we examine the capabilities of various machinelearning methods in predicting regions of high ridge density fromSAR imagery of Hudson Strait. Our results showed that althoughridging in Hudson Strait may be difficult to distinguish even with thehuman eye, machine learning can give some insight into potentiallydangerous regions of Hudson Strait. |
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