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Articles | Volume 5
Articles | Volume 5
Abstr. Int. Cartogr. Assoc., 5, 36, 2022
https://doi.org/10.5194/ica-abs-5-36-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Abstr. Int. Cartogr. Assoc., 5, 36, 2022
https://doi.org/10.5194/ica-abs-5-36-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5
 
14 Sep 2022
14 Sep 2022

Automated extraction of map symbology from nineteenth century topographical maps by convolutional neural networks for understanding long-term changes in the extent and distribution of wetlands

Rob O'Hara1, Richa Marwaha2, Jesko Zimmerman1, Matthew Saunders2, and Stuart Green1 Rob O'Hara et al.
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  • 1Teagasc Food Research Centre, Spatial Analysis Unit, Ireland
  • 2Trinity College Dublin, Department of Botany, Ireland

Keywords: wetlands, u-net, segmentation, historic maps, drainage

How to cite. O'Hara, R., Marwaha, R., Zimmerman, J., Saunders, M., and Green, S.: Automated extraction of map symbology from nineteenth century topographical maps by convolutional neural networks for understanding long-term changes in the extent and distribution of wetlands, Abstr. Int. Cartogr. Assoc., 5, 36, https://doi.org/10.5194/ica-abs-5-36-2022, 2022.
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Abstracts of the ICA

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