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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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, BH |
| Suggests: | tinytest |
| Published: | 2022-02-08 |
| Author: | 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) |
| Maintainer: | Jean-Romain Roussel <jean-romain.roussel.1 at ulaval.ca> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | RMCC results |
| Reference manual: | RMCC.pdf |
| Package source: | RMCC_0.1.0.tar.gz |
| Windows binaries: | r-devel: RMCC_0.1.0.zip, r-release: RMCC_0.1.0.zip, r-oldrel: RMCC_0.1.0.zip |
| macOS binaries: | r-release (arm64): RMCC_0.1.0.tgz, r-oldrel (arm64): RMCC_0.1.0.tgz, r-release (x86_64): RMCC_0.1.0.tgz, r-oldrel (x86_64): RMCC_0.1.0.tgz |
| Reverse suggests: | lidR |
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