31
calculation, which reduces the amount of points and makes the point cloud density more even.
Select Point Cloud Processing for the Scenarios option.
3.1.3.3. Point Cloud Processing
Ø Point Cloud Effective Distance Range: It refers to the effective distance between the
point cloud and the LiDAR for point cloud processing. If the points captured by the
LiDAR exceed the effective distance, the points will be filtered out during processing.
You c an s et a n e ffe c tiv e po i nt cl o ud d ist a nce if y ou n eed to r ec onst ruct a s hor t er t arget
range but will inevitably capture the background in the distance.
Ø Optimize Point Cloud Accuracy: This feature optimizes the adjustment of the point
clouds scanned at different times during point cloud processing to improve their overall
accuracy. We recommend that you enable this feature.
Ø Smooth Point Cloud: This feature reduces the point cloud thickness to remove discrete
noise, make local structure clearer, and improve the effects of ground point extraction. If
you need to retain the slight elevation changes (smaller than 5 cm) on the object surface,
or if you have low vegetation, uneven ground, buildings with facade details, we
recommend that you disable this feature.
Ø Ground Point Classification: If this feature is enabled, ground points would be classified
from non-ground points. Ground points can be used for generating a topographic map for
the mapping area.
To Next Page
Loading...
