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Airborne LiDAR Filtering Method Based on Cloth Simulation

2packages dependsuggested by 2
16.1Kdownloads / year
57.8%test coverage
13/13flavors OK

Overview

About

Cloth Simulation Filter (CSF) is an airborne LiDAR (Light Detection and Ranging) ground points filtering algorithm which is based on cloth simulation. It tries to simulate the interactions between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be determined to generate an approximation of the ground surface https://www.mdpi.com/2072-4292/8/6/501/htm.

Changes in 1.0.2
  • Fix unit test with new compilation directive -mfpmath=sse -msse2.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 67 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

16.1K
CRAN downloads in the past year
Rank #3,802 · ~44/day · ~1.3K/mo
Daily download trend is not available in this view yet.
95130 days
2.5K90 days
16.1K1 year
Compare downloads with other packages →
Also on415 r2u6 autocran2.8K conda_forge

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing RCSF adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (1)
R >= 3.1.0
Imports (1)
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (6)
Author, Maintainer since 1.0.1 (2018), Copyright holder
Author, Copyright holder
Copyright holder
Copyright holder
Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.2Latest
    record
    2020-02-04 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.1
    record
    2018-11-14
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-11-14
Total releases
2 / 8 yrs
License
Apache License 2.0 OSI
Minimum R
≥ 3.1.0
Bundled data
69 KB / 1 file
Download size
87 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RCSF")
Roussel, J., State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Beijing Normal University, Qi, J., Wan, P., Wang, H., & Zhang, W. (2020). RCSF: Airborne LiDAR Filtering Method Based on Cloth Simulation (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.RCSF

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RCSF version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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