## 2 Materials and Methods
Indirect georeferencing is performed on the basis of known coordinates of scanned targets in the reference coordinate system, which serve as reference points. We established a geodetic network of these using classical terrestrial methods. The reference points represented the starting point for the formation of transformation parameters between the local coordinate system of the scanner and the reference coordinate system. At least 3 support points are required for a successful transformation. The computer processing process began with the registration of the scans. The complexity of the procedure depended on the number of captured scans from different positions and the coverage of these for quality registration. The number of stands was due to the size and geometry of the scanned object, as we could avoid blind spots and possible physical obstacles when working. Given that we were considering a single area or facility, it was necessary to connect the stands. The basic purpose of registration was to find the binding parameters that optimally converted the point cloud of the local scanner coordinate system into a single project coordinate system. This could be done through various registration methods, such as registration using binding points, using features, and iterative approximation [72]. Combined method of registration--i.e., cloud-to-cloud and using targets--is the most common way to register point clouds as it gives the best results. The basic principle was to use special targets when scanning, which we placed in the field of view of the scanner. Each target allowed optimal reflection of the laser beam. In this way, good target identification was enabled. The scanner detected the target and determined its center based on various algorithms. The center of each target thus represented an unambiguous and direct connecting point in two different scans. Based on identical points, the program automatically determined the transformation parameters of the spatial transformation between the local scanner coordinate system and enabled their merger into a single project coordinate system [73]. The use of three connection points was sufficient for determining the transformation parameters. Increasing the number of these increased the reliability and accuracy of matching the two point clouds. In addition to the number, the appropriate layout was also important. Targets should be arranged to allow adequate homogeneity of the point cloud in the core and at the outer edges of the scan [74]. The registration of the scans was done with the program Leica Cyclone Register 360, based on the cloud-to-cloud and target registration process. This process used modern registration algorithms and was an established and automated registration process for combining individual scans. After combining the point clouds, optimizing the registration,  
After merging the scans and georeferencing, the relevant distances were measured using the \"measure distance\" function, comparing the point clouds (\"cloud-to-cloud\") before loading and after the performed loading of the beams. The displacements were determined based on the change in the positions of the centric point of the target. Figure 7 shows an example of the determination of displacements in the middle of the TL_02 beam. The procedure was repeated for all targets on the beams.