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.