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LIS Classification - point cloud classification and feature extraction

This package contains tools for supervised and unsupervised point cloud classification, including the derivation of geometric primitives like lines, planes and volumes, and the classification of point clouds into the classes ground, building, vegetation, power lines and pylons.

Tool: Attach Classification to Point Cloud

Features
• attaching the result of a supervised classification back to the point cloud
Applications
• supervised point cloud classification

Tool: Classify Point Cloud by Polygon

Features
• assignment of classification identifiers from polygons to points based on point-in-polygon checks
• additional identifier for undefined points
• filter options to process only certain classes
• optional polygon buffering
Applications
• point cloud classification

Tool: Clean Building Facades

Features
• removal of (misclassified) vegetation points from building facades
• optional: minimum height above ground filter
• used-defined target class
Applications
• point cloud classification

Tool: Clean Building Roofs

Features
• removal of (misclassified) vegetation points from building roofs (e.g. antennas, chimneys)
• used-defined target class
Applications
• point cloud classification

Tool: Create Classification Error Matrix

Features
• evaluate a classification result with a reference classification
• calculate confusion matrix as well as user, producer and overall accuracy
Applications
• evaluation of classification results with a reference classification

Tool: Create Feature Grid Stack

Features
• creation of a grid stack with point cloud features for supervised classification
Applications
• supervised point cloud classification

Tool: Create Training Areas from Table

Features
• creation of training areas from a table with segment ids and classification ids
Applications
• supervised point cloud classification

Tool: Eigenvalue Classification

Features
• template matching of eigenvalue patterns for feature classification in point clouds
• pattern templates can be reviewed and modified
• optional output of classification quality
• pre-defined pattern templates: isolated point, end of line, line, plane, half plane, quarter plane, two planes, three planes, two planes (30 degree), volume
• optional: classification of lines and planes in horizontal, intermediate and vertical
Applications
• feature extraction
• point cloud classification

Tool: Enhanced Point Cloud Classification

Features
• classification of building and vegetation points
• input: point cloud with ground classification, height above ground and segmentation result
• two options for building classification: based on point cloud features (optimized for LiDAR) and based on surface roughness (optimized for photogrammetric point clouds)
• height slicing of vegetation points into three classes
Applications
• point cloud classification

Tool: Geometric Primitives Classification

Features
• classification of geometric primitives derived by Eigenvalue classification
• output classes: undefined, ground, ground inventory, wall, roof, vertical pole, horizontal pole
Applications
• feature extraction
• point cloud classification

Tool: Ground Classification

Features
• classification of ground points by progressive TIN densification
• optional: additional use of pre-computed segmentation result
• optional: seed filtering (several criteria)
• optional: height above ground computation
• optional: output of final TIN as 3D polygon shapes layer
Applications
• point cloud classification

Tool: Ground Classification and Basic Filtering [muli-tile]

Features
• classification of ground points by progressive TIN densification
• works directly on virtual point cloud datasets (multi-tile)
Applications
• point cloud classification (multi-tile)
• mass data processing

Tool: Power Line Classification

Features
• detection and classification of power line cables
• optional: classification of vertical and elongated objects as poles
• optional: filtering with attribute threshold
Applications
• point cloud classification

Tool: Power Line Refinement

Features
• refinement of power line classification by filter options
• separation of individual cables by segmentation and region growing
Applications
• point cloud classification
• point cloud segmentation

Tool: Pylon Classification

Features
• classification of pylons
• input: point cloud with (refined) power line classification
Applications
• point cloud classification