Classify your Aerial Lidar Data
Classify your lidar point cloud in the following classes
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Ground
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Vegetation
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Building
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Water
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Wire
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Transmission Tower
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High Noise
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Roof object
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Bridge Deck
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Vehicle
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Pole
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Fence – Wall
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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
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.
Filter Vegetation in Steep Terrain
Lidarvisor automatically and accurately classifies ground in steep terrains without needing manual parameter adjustments. This streamlined process saves time and ensures reliable terrain analysis by eliminating the need for fine-tuning between vegetation and ground.
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
Effortlessly upload, seamlessly classify, and intuitively view your point clouds
Lidar Data Software
How Our Platform leverages AI to classify point clouds
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.
Create a FREE account now and begin classifying your point cloud
Get 2 GB of storage space and classify up to 10 hectares for free.
