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) .


R package that wraps the MCC algorithm for Airborne LiDAR ground filtering based on Multiscale Curvature Classification. It is made to work along with the lidR package.

Example

library(lidR)

file <- system.file("extdata", "Topography.laz", package="lidR")
las  <- readLAS(file, select = "xyz")
las  <- classify_ground(las, mcc())

plot(las, color = "Classification")

Reference

Evans, Jeffrey S.; Hudak, Andrew T. 2007. A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments. IEEE Transactions on Geoscience and Remote Sensing. 45(4): 1029-1038.

Reference manual

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install.packages("RMCC")

0.1.2 by Jean-Romain Roussel, 10 months ago


https://github.com/r-lidar/RMCC


Report a bug at https://github.com/r-lidar/RMCC/issues


Browse source code at https://github.com/cran/RMCC


Authors: Jean-Romain Roussel [aut, cre] , Evans Jeffrey S [aut] , Hudak Andrew T [aut] , Green Code LLC [cph] (Author of the mcc code under US federally funded contract) , Jarno Elonen [cph] (Author of the included thin plate spline library) , Thomas Becker [cph] (Author of the included any_iterator library)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp

Suggests tinytest

Linking to Rcpp, BH


Suggested by lidR.


See at CRAN