Import file and change Scalar Field display setting. Read point clouds number. Change point size.
Point cloud colored by reflection intensity.
Filter out the high intensity part. Lots of the remaining part is low-reflective plants.
Point cloud colored by elevation.
Ambient occlusion.
Ambient occlusion is a common rendering technique, which visualizes a 3D scene based on the level of illumination the scene received from an ambient light source (often modeled by a hemisphere representing an open sky vault). Ambient occlusion has been found as an effective method for rendering point cloud. Geometric details in ambient occlusion images appear clearer compared to elevation-based visualization. More details can be found in “Visualisation of urban airborne laser scanning data with occlusion images” by Hinks et al. (2015).
close up view point for ambient occlusion.
curb height = 0.045 ft = 1.3 cm
Light pole height = 14 ft = 4.26 m
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Question: what exactly is the unit of these datasets?
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The histogram of the left image.
Selected area with relative homogeneous intensity.
Original tls
tls part filtering for intensity between 10-20
the remaining
Approach 1 – 2D raster discretization