Classify your Aerial Lidar Data
Classify your lidar point cloud in the following classes
Ground
Vegetation
Building
Water
Wire
Tower
Roof Object
Bridge Deck
Vehicle
Pole
Fence – Wall
Hedge
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Automatic Classification
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No parametrization
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Aerial Lidar Point Cloud
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Urban & Rural Areas
Classify Ground Points
Lidarvisor intelligently classifies ground points by distinguishing them from vegetation, buildings, vehicles, and man-made infrastructure. The software accurately identifies the terrain layer across diverse environments, ensuring that every point is correctly categorized to provide the clean, high-fidelity data required for professional engineering and geospatial analysis.
Filter Vegetation even in Steep Terrain
Filter vegetation and isolate ground points automatically, even on extreme slopes, without manual parameter adjustments. By eliminating the need to tweak settings for varying gradients, you ensure a reliable classification that handles the transition from dense brush to rugged ground seamlessly.
Optimizing Electrical Corridor Monitoring
Enhancing electrical corridor monitoring with Lidarvisor to accurately classify wires and transmission towers.
Classify Wires and Transmission Towers
Quickly and accurately classify complex structures like wires and transmission towers without the need for manual adjustments or parameter tuning.
Water Body Segmentation
Lidarvisor enables precise segmentation of water bodies from LiDAR data, streamlining the identification of lakes, rivers, ponds, and other aquatic features. Water body segmentation is essential for applications such as flood risk assessment, hydrological modeling, and environmental monitoring.
Building Classification in Urban Areas
In complex urban environments, Lidarvisor’s advanced classification handles dense clusters of buildings with precision. It efficiently separates individual structures from overlapping elements, such as roads, vegetation, and adjacent buildings. The automated process eliminates the need for parameter fine-tuning, providing consistent and detailed building identification in intricate urban landscapes.
Building Classification in Rural Areas
Lidarvisor excels at classifying buildings in rural areas, where structures are often sparse and surrounded by natural terrain. The algorithms accurately distinguish buildings from features like vegetation and ground, even in large and uneven landscapes.
Filter High Noise
Lidarvisor efficiently filters high noise from LiDAR data, ensuring cleaner and more accurate point clouds. High noise points, often caused by outliers or non-relevant data like birds or atmospheric interference, can obscure important details and compromise the quality of analysis.
Point Cloud Semantic Segmentation
Upload your point cloud, run automatic classification, and visualize the results in 3D
Lidar Data Software
Leverage AI to classify point clouds with precision
Classify point clouds with no settings
Seamlessly, our classification algorithm handles any terrain type without parameter adjustments, be it flat or steep, urban or rural.
The Power of LiDAR and AI
Lidarvisor algorithms leverage deep learning models to provide a powerful classification tool that requires no configuration. The result is good on the first try.
What Our Customers Say
Trusted by Surveyors Worldwide
“The powerful classification is the best feature. It really helps my workflow, much faster and easier. It saves a lot of time and money compared to manual classification or expensive solutions.”
Emilio Segovia
Head of Operations, PDM 4 Cero
“When we started using Lidarvisor, we saved a lot of time classifying our point clouds. Not only did we receive a classified point cloud, but also many other exports (DEM, DSM, DXF) we could use directly in our analysis software.”
Marcel Aertssen
Drone Pilot and Survey Analyst, SkySense UAV Solutions B.V.
“Excellent software. Processing is extremely fast and highly accurate. Exemplary DSM and DTM outputs.”
Theoharis Papadiamantis
Surveying Engineer, Geodimetro
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