Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

Published 2020 View Full Article

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Title
Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains
Authors
Keywords
Damaged pollen, Fossil pollen, Machine learning, Image analysis, Z-stacking, Amaranthaceae
Journal
COMPUTERS & GEOSCIENCES
Volume 140, Issue -, Pages 104498
Publisher
Elsevier BV
Online
2020-04-15
DOI
10.1016/j.cageo.2020.104498

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