A cleaner and more manageable point-cloud base
ALTIVUE GEOSPATIAL SERVICE 05
Point Cloud Processing
Prepare airborne and mobile laser scanning data for corridor mapping, asset extraction, CAD and operational GIS workflows.
Discuss this service ↗︎THE CLIENT OUTCOME
Point clouds prepared for the task that comes next.
Consistent features across mixed capture conditions
Outputs aligned to their downstream use
BEST FIT
When to bring in this service.
- Mobile and terrestrial scanning teams
- AEC teams receiving difficult multi-scan datasets
- GIS and asset teams needing vectors rather than raw points
Cloud cleanup
Isolated noise, duplicated data and unnecessary extents reduced while legitimate elevated assets are protected.
Analysis preparation
Data segmented, tiled or sampled to suit the target application, with reductions in density and precision documented.
Feature conversion
Useful objects translated into profiles, sections, measurements and CAD/GIS geometry.
DELIVERABLES
Point clouds organized for downstream use.
Point cloud processing, cleanup and feature extraction for airborne, MLS, mobile LiDAR, UAV and terrestrial scan data.
01
MLS and mobile LiDAR processing
02
Registration review and cleanup
03
Automated outlier and isolated-noise removal
04
Classification and segmentation
05
Point cloud feature extraction
06
Profiles, sections and measurements
07
Optimized or tiled delivery datasets
CALIBRATED WORKFLOW
Production workflow
Every project begins with a representative sample and measurable acceptance criteria.
Diagnose
Inspect structure, density, coverage, alignment, noise and attribute availability.
Prepare
Normalize, crop, tile, clean and preserve the attributes needed downstream.
Interpret
Classify or extract features with rules suited to the capture system and intended use.
Optimize
Deliver efficient files plus the derived CAD, GIS or analytical products required.
ACCEPTANCE CONTROLS
Checks to agree with your reviewers.
Checks are selected from the actual deliverable specification and confirmed during calibration.
- Coverage and alignment review
- Outlier-filter calibration
- Attribute preservation
- Downstream software validation
01 / INPUTRegistered or georeferenced point-cloud sources02 / ALTIVUE GEOSPATIALCleanup, organization, interpretation and extraction03 / HANDOFFOptimized clouds and task-specific derived data
INPUTS TO ASSESS
Work with the data you already capture.
Start with a source inventory and a representative sample. Confirm transfer arrangements before sharing restricted data.
LAS/LAZE57Registered point cloudsMLS and mobile LiDARTrajectory and control dataPhotogrammetric clouds
YOUR ACCEPTANCE REVIEW
Confirm useful measurements survive the cleanup.
Define a before-and-after sample, processing log, retained-attribute list and inventory of clipped, filtered or resampled content.
- Compare coverage and alignment with the supplied registered source
- Inspect thin and elevated objects after noise filtering
- Open the final files in the client's software and check required attributes
AGREE BEFORE PRODUCTIONRegistration status, intended measurements, crop boundary, density reduction, required attributes and target software version.SCOPE LIMITA registration review can identify concerns; it does not certify alignment. Re-registration, sensor adjustment and BIM reconstruction require separate assessment and scope.REVIEW AND CORRECTIONSet the review window, defect reporting format and correction responsibilities in the scope. Record approved exceptions separately from items requiring rework.
FREQUENT QUESTIONS
Before you send a sample.
Do you process MLS and mobile LiDAR?+
Yes. Altivue Geospatial processes mobile laser scanning data for corridor mapping, streetscape inventory, utility assets and 2D or 3D feature extraction, using trajectory and imagery context where available.
Is point cloud processing the same as classification?+
Classification is one part of processing. Processing can also include cleanup, normalization, tiling, registration review, feature extraction and surface production.
Can you remove isolated aerial points?+
Noise filtering can be scoped using a before-and-after sample. Review must include thin wires, canopy and elevated infrastructure so legitimate measurements are not mistaken for outliers.
Can you extract vectors from a point cloud?+
Yes. Point, line and polygon features can be captured in 2D or 3D and attributed for CAD or GIS.
START WITH ONE REPRESENTATIVE AREADiscuss the scope
Discuss the scope
and required outputs.
Share the approximate volume, required outputs and acceptance criteria. Altivue Geospatial will define a focused production pilot.