Point Cloud Modeling
In addition to image data, Get3D Mapper also supports point cloud modeling and point cloud-image fusion modeling.
Last updated
In addition to image data, Get3D Mapper also supports point cloud modeling and point cloud-image fusion modeling.
Last updated
Get3D Mapper supports the addition of laser point cloud and track line data collected by mobile laser equipment. The software supports laser point cloud modeling alone and laser point cloud fusion modeling with photos.
Support vehicle-mounted, airborne, backpack, and handheld laser point clouds. Laser point cloud supported formats: *.las, *.ptx, *.pts, *.e57. Trajectory line supported formats: *.txt, *csv.
1) Open the Add Mobile Point Cloud interface
2) Setting up the laser point cloud spatial reference
3) Selection of mobile laser point cloud data
4) Importing trajectory lines
5) Define the trajectory line
Set the spatial reference of the track line, the separator, and the actual meaning corresponding to each column ("GPS time, longitude, latitude, elevation" or "GPS time, east coordinate, north coordinate, elevation").
6) Enquiry
Whether you need to check for data matching.
7) Check the matching results
Laser point cloud check contains laser point position and track line position matching; laser point cloud time and track line time matching. And display the matching status.
8) Apply point cloud
After importing point cloud, click Apply to generate a new block.
Get3D Mapper supports adding laser point cloud and center data collected by a stationary laser equipment. The software can support laser point cloud modeling alone and laser point cloud and photo fusion modeling. The following formats are supported: *.las, *.ptx, *.pts, and *.e57. The station center supports manual input or import of *.txt format files.
1) Click Add Static Scan
2) Select the point cloud coordinate system
3) Add Point Cloud
4) Add station center
There are two ways to add station center coordinates:
One is to manually add station center coordinates on the right side of the point cloud list.
The other is to click Add Station Center, import the center of the station coordinates file. File samples such as the figure below, including the point cloud name, x, y, z arrangement, separated by a space in the middle:
If there is no station center coordinates, the software can automatically calculate, uncheck the Define station center.
5) Apply point cloud
After importing point cloud, click Apply to generate a new block.
In the point cloud block, click Process to cut the point cloud
After processing, you can view and check the point cloud in the 3D view.
If point cloud checked, then continue create a new 3D reconstruction according to the workflow.
Get3D Mapper supports importing laser point cloud data and fusing it with image data for modeling. Multi-source data fusion modeling can solve the texture distortion, feature voids and other defects in the 3D modeling process.
Image data is first imported for aerial triangulation (Relative Orientation).
For data containing control points, Absolute Orientation should be completed before importing the laser data for fusion modeling.
After AT, open the Point Cloud panel, select the point cloud type, and add the data (e.g., mobile LiDAR).
Imports laser data: The laser data consists of .las point cloud files, and .txt point cloud trajectory line files.
Click Add Mobile Point Cloud, select the correct coordinate system, import the point cloud file in .las format, and the trajectory line file in .txt.
Note: The correct coordinate system should be selected for both files.
Where the trajectory line file needs to correspond to: Time, X, Y, Z
Click OK and the software automatically matches the point cloud data with the track line. The two correspond to each other and the submission is successful.
Click Process in Point Cloud Process to slice the tiles. Once you have finished slicing the tiles, you can view both the point cloud trace lines and the image photo shelf in the 3D view.
Right click to submit Reconstruction for multi-source data fusion modeling.
Tutorial video:
