Discovery and analysis of topographic features using learning algorithms: a seamount case study
<p>Identifying and cataloging occurrences of particular topographic features are important but time-consuming tasks. Typically, automation is challenging, as simple models do not fully describe the complexities of natural features. We propose a new approach, where a particular class of neural...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Geophysical Union
2013
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| Subjects: |