RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation
Supervised methods for object delineation in remote sensing require labeled ground-truth data. Gathering sufficient high quality ground-truth data is difficult, especially when targets are of irregular shape or difficult to distinguish from background or neighboring objects. Tree crown delineation p...
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Auteurs principaux: | Dylan Stewart, Alina Zare, Sergio Marconi, Ben G. Weinstein, Ethan P. White, Sarah J. Graves, Stephanie A. Bohlman, Aditya Singh |
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Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/b3004e22a27c4369a7331fd04e2a81c8 |
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