VisionLidar - Tutorial - Ground detection

4 types of classification in the Analyze menu Ground Building Vegetation Noise Ground: This detection searches for the lowest point within a given cell size, creating a TIN of the area and classifies the detected points to class #2. Slope tolerance: slope within which the next point may be detected Minimum cell size: search radius for the next detected point (size of triangulation) Limit by radius: circumscribes the detection within a given area (must pick a XYZ point) Classification: will classify or not Elevation: interval within which points will be classified Create surface: creation of the TIN surface Flatten outline: for flatter surfaces Create surface will have added a surface in the objects Buildings: This detection searches for vertical planes and classifies points to class #6 (buildings) Slope tolerance: slope measured from a vertical plane Minimum cell size: Distance tolerance: Limit by radius: idem Vegetation: This detection searches for cells with a high degree of dispersion (variation). These cells will be marked as class #3. Variation per cell: Percentage of dispersion within the cell Min cell size: Dimension of the cell Limit by radius: idem Noise: This detection searches for isolated points within the point cloud. Isolated points are considered as noise and sent to class #7. Min points per cell: Number of points within a given cell Minimum cell size: Dimension of the cell Limit by radius: idem Use statistical removal: This algorithm will detect isolated points in a cell but will also analyze patterns of points to determine if the point is part of a cluster. This algorithm requires more processing time. Classification segmentation