doi:10.1016/j.rse.2017.11.024> and Jozdani et al. (2020) <doi:10.1016/j.isprsjprs.2020.01.002>.">

segmetric: Metrics for Assessing Segmentation Accuracy for Geospatial Data (original) (raw)

A system that computes metrics to assess the segmentation accuracy of geospatial data. These metrics calculate the discrepancy between segmented and reference objects, and indicate the segmentation accuracy. For more details on choosing evaluation metrics, we suggest seeing Costa et al. (2018) <doi:10.1016/j.rse.2017.11.024> and Jozdani et al. (2020) <doi:10.1016/j.isprsjprs.2020.01.002>.

Version: 0.3.0
Depends: R (≥ 2.10), sf
Imports: magrittr, graphics, units
Suggests: classInt, dplyr, testthat (≥ 3.0.0)
Published: 2023-01-10
DOI: 10.32614/CRAN.package.segmetric
Author: Rolf Simoes ORCID iD [aut], Alber Sanchez ORCID iD [aut], Michelle Picoli ORCID iD [aut, cre]
Maintainer: Michelle Picoli
BugReports: https://github.com/michellepicoli/segmetric/issues
License: MIT + file
URL: https://michellepicoli.github.io/segmetric/
NeedsCompilation: no
Citation: segmetric citation info
Materials: README NEWS
CRAN checks: segmetric results

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