The implementation of the presented methodology consists of several tools:
- The coregistration and matching parts are implemented in FME 2020.1
- Within the FME workspace coregistration.fmw Python 3.7 scripts and libraries Open3D and Pyntcloud are integrated
- The inference of the Bayesian network is performed in R using the bnspatial package.
- The network can is designed in GeNIe but one can use similar software (see Stritih et al., 2020 for a nice overview)
- The workflow is designed to digest MLS point clouds and a CityGML building (so to say N:1). The output is a probability map in the .png format
