Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery-Reference-Cited by-同舟云学术

Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery

Published:2020-05-07 Issue:5 Volume:15 Page:e0230856
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Lassiter Allison^ORCID,Darbari Mayank

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference38 articles.

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