Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) <doi:10.1109/TPAMI.2012.120>), and readapts it to work with arbitrary dissimilarity measures.
Version: 1.0.0 Imports: sf, terra (≥ 1.4-21), philentropy (≥ 0.6.0), future.apply LinkingTo: cpp11 Suggests: knitr, covr, testthat (≥ 3.0.0), rmarkdown, stars Published: 2024-02-11 DOI: 10.32614/CRAN.package.supercells Author: Jakub Nowosad [aut, cre], Pascal Mettes [ctb] (Author of the initial C++ implementation of the SLIC Superpixel algorithm for image data), Charles Jekel [ctb] (Author of underlying C++ code for dtw) Maintainer: Jakub Nowosad <nowosad.jakub at gmail.com> BugReports: https://github.com/Nowosad/supercells/issues License: GPL (≥ 3) URL: https://jakubnowosad.com/supercells/ NeedsCompilation: yes Citation: supercells citation info Materials: README NEWS CRAN checks: supercells results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=supercells to link to this page.
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