Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models
Abstract |
We present a workflow for the rapid delineation and microtopographic characterization of ice wedge polygons within high-resolution digital elevation models. At the core of the workflow is a convolutional neural network used to detect pixels representing polygon boundaries. A watershed transformation is subsequently used to segment imagery into discrete polygons. Fast training times (
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Journal Article
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Year of Publication |
2019
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Author | |
Journal |
The Cryosphere
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Volume |
13
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Issue |
1
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Number of Pages |
237 - 245
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Date Published |
01/2019
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DOI |
10.5194/tc-13-237-2019
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URL |
https://doi.org/10.5194/tc-13-237-2019
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