Add ground filtering plugin (CSF) to the official repository of cloudcompare

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wpqjbzwm
Posts: 36
Joined: Tue May 24, 2016 10:59 am

Re: Add ground filtering plugin (CSF) to the official repository of cloudcompare

Postby wpqjbzwm » Tue Jan 10, 2017 2:40 pm

@Deniel,

There is something wrong with the article of CSF in several links, such as author and year.
https://github.com/CloudCompare/CloudCompare/releases
https://github.com/CloudCompare/CloudCo ... ANGELOG.md
https://github.com/CloudCompare/CloudCo ... 424f31ea44

It should be:
Zhang W, Qi J, Wan P, Wang H, Xie D, Wang X, Yan G. An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation. Remote Sensing. 2016; 8(6):501.

Please correct it. Thank you.

daniel
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Re: Add ground filtering plugin (CSF) to the official repository of cloudcompare

Postby daniel » Tue Jan 10, 2017 6:14 pm

Ok that's fixed (but the last one which reflects the commit at the state it was done at that time and it cannot be changed).
Daniel, CloudCompare admin

wpqjbzwm
Posts: 36
Joined: Tue May 24, 2016 10:59 am

Re: Add ground filtering plugin (CSF) to the official repository of cloudcompare

Postby wpqjbzwm » Thu Jan 19, 2017 12:27 am

Hi, Daniel. Thank you for the corrections.

By the way, we are pleased to announce that CSF can be used in Python environment now. More details can be found here, https://www.researchgate.net/project/CSF-Ground-filtering-of-point-cloud-based-on-Cloth-Simulation

wpqjbzwm
Posts: 36
Joined: Tue May 24, 2016 10:59 am

Re: Add ground filtering plugin (CSF) to the official repository of cloudcompare

Postby wpqjbzwm » Fri Jan 05, 2018 4:39 pm

Investigating the performances of commercial and non-commercial software for ground filtering of UAV-based point clouds

In the above paper, CSF was compared with the ground filtering algorithms of several softwares including Photoscan and Global Mapper. In the paper, they reported:

The results showed that the CSF algorithm presented the best filtering results for both test sites with Total Errors of 6% and 4.5% in the sites 1 and 2, respectively.

Performance analyses revealed that the recently introduced CSF algorithm yielded the minimum Total Errors in both test sites (see Table 4).

it was easier to find the optimum parameters for the CSF.

The main advantage of this algorithm is that it uses very few easy-to-set parameters.

Considering the performance and time efficiency, the freely available CSF algorithm as found to be the optimum ground filtering algorithm for UAV-based point clouds.


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