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Point Cloud Software
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Software Features
Data display
Up to 4 views that fully support 3D display
Point cloud display modes: RGB, Intensity, Elevation, Classification, MIX, File color
Camera view
Camera origin (XYZ)
Camera direction (XYZ)
Focal length
Point cloud snapping
Snapping to the point cloud (on/off)
Precision drawing in the profile view
Measurements
3D distance
Area
Volume
Building and displaying 3D surfaces
Creating 3D surfaces based on point clouds
Displaying surfaces in Solid, RGB, Intensity, Elevation, Classification, Mix, File color modes
Displaying surfaces wireframe
Adjusting the detail render range of surfaces
Clipping box
Clipping box definition in view
Clipping planes definition by values
Dynamic move
Cross section
Cross section in selected view
Polyline cross section definition
Fixed width / length
Z scale factor
Dynamic move
Volume Measurements
Volume
Raster data
JPG, JPEG
JP2, J2K
TIF, TIFF
ECW
WMS Support
Definition, saving and reading of WMS sources
Selection of layers
Document creating module
Dimensioning based on point clouds (distance, height, altitude point, the angle of inclination)
Page size/color definition, output scale, template
Setting out of the output scale
Dimension lines and fonts editing
Insert and edit names nad grid lines
Choice global/relative coordinates
Saving as a image file (JPG, PNG, BMP, TIF, TIFF)
Export to DXF format (as an integrated raster)
Vector data
Point markers
Line markers
Shape markers
Circle markers
Relative height markers
Markers save / load (KML, SHP, TXT)
Coordinate systems
Full EPSG coordinates support
Point cloud coordinates system transformation
Cooperation with Server
Remote access (LAN/WAN) to data shared by LiMON Server
Project selection
Choice of data displaying according to the level of density
Metadata reading
Display scope of the project from the Limon Server
Downloading and visualization of LiDAR data
Displaying 3D models
GML, OBJ, 3DS, DAE, FBX, IFC
Displaying models in mode: original (also with texture), uniform, advanced and triangle mesh
Transformation loaded models: shift, rotation and scale
Density map
Creating density map from loaded point clouds
Color schema definiton
Sampling area definition
Density levels definition
Selected reflections
Ignore overlap points (option)
Manual point cloud classification
Definition of own classification schemes
Rectangle, shape and corridor classification
Classification above and below a line
Classification with a shape marker
Classification by Active Z
Classification in a specific intensity range
Automatic point cloud classification
Automatic classification of ground
Automatic classification of buildings
Automatic classification of vegetation
Editing parameters of all classification modes
Point Cloud Software
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