Package: RMCC 0.1.1

Jean-Romain Roussel

RMCC: Airborne LiDAR Filtering Method Based on Multiscale Curvature

Multiscale Curvature Classification of ground returns in 3-D LiDAR point clouds, designed for forested environments. 'RMCC' is a porting to R of the 'MCC-lidar' method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.

Authors:Jean-Romain Roussel [aut, cre], Evans Jeffrey S [aut], Hudak Andrew T [aut], Green Code LLC [cph], Jarno Elonen [cph], Thomas Becker [cph]

RMCC_0.1.1.tar.gz
RMCC_0.1.1.zip(r-4.5)RMCC_0.1.1.zip(r-4.4)RMCC_0.1.1.zip(r-4.3)
RMCC_0.1.1.tgz(r-4.4-x86_64)RMCC_0.1.1.tgz(r-4.4-arm64)RMCC_0.1.1.tgz(r-4.3-x86_64)RMCC_0.1.1.tgz(r-4.3-arm64)
RMCC_0.1.1.tar.gz(r-4.5-noble)RMCC_0.1.1.tar.gz(r-4.4-noble)
RMCC_0.1.1.tgz(r-4.4-emscripten)RMCC_0.1.1.tgz(r-4.3-emscripten)
RMCC.pdf |RMCC.html✨
RMCC/json (API)

# Install 'RMCC' in R:

install.packages('RMCC', repos = c('https://r-lidar.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/r-lidar/rmcc/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

rmcc_cloud - Airborne LiDAR point cloud

On CRAN:

cpp

3.40 score 5 stars 4 scripts 436 downloads 1 exports 2 dependencies

Last updated 6 months agofrom:1272c0d03c. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 30 2024
R-4.5-win-x86_64	OK	Nov 30 2024
R-4.5-linux-x86_64	OK	Nov 30 2024
R-4.4-win-x86_64	OK	Nov 30 2024
R-4.4-mac-x86_64	OK	Nov 30 2024
R-4.4-mac-aarch64	OK	Nov 30 2024
R-4.3-win-x86_64	OK	Nov 30 2024
R-4.3-mac-x86_64	OK	Nov 30 2024
R-4.3-mac-aarch64	OK	Nov 30 2024