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Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery
To analyze types and patterns of greening trends across a city, this study seeks to identify a method of creating very high-resolution urban vegetation maps that scales over space and time. Vegetation poses unique challenges for image segmentation because it is patchy, has ragged boundaries, and hig...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7205237/ https://ncbi.nlm.nih.gov/pubmed/32379776 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0230856 |
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