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Convolutional neural networks for image-based sediment detection applied to a large terrestrial and airborne dataset
<p>Image-based grain sizing has been used to measure grain size more efficiently compared with traditional methods (e.g., sieving and Wolman pebble count). However, current methods to automatically detect individual grains are largely based on detecting grain interstices from image intensity w...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Copernicus Publications
2022-04-01
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| Serie: | Earth Surface Dynamics |
| Länkar: | https://esurf.copernicus.org/articles/10/349/2022/esurf-10-349-2022.pdf |
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