End-to-End Photogrammetric Software Suite

Designed to transform aerial and satellite imagery into precise spatial deliverables.

• MATCH-AT: Automated aerial triangulation and block adjustment for large image blocks.
• MATCH-T: Dense Digital Surface Model (DSM) extraction from aerial and satellite imagery.
• MATCH-3DX: Advanced dense image matching leveraging Semi-Global Matching (SGM) for ultra-dense point cloud generation and true orthophoto production (SGM 2.5D & 3D).
• MATCH-3DX Mesh Module: Optional add-on enabling automatic generation of highly accurate, photorealistic, textured 3D meshes directly from dense point clouds.
• DTMaster: Interactive 3D stereo compilation and DTM editing environment.
• OrthoMaster & OrthoVista: High-precision orthorectification and seamless, color-balanced mosaic generation.
• SATMaster: Geometric orientation and orthorectification tailored for satellite data.

CAD-Integrated 3D Terrain & Smart City Modeling

An enterprise modeling ecosystem built directly on Rhinoceros.

• RhinoTerrain: Large-scale DTM creation, TIN mesh generation, breakline editing, and contouring from photogrammetry, LiDAR, and survey data.
• RhinoCapture: Assisted 3D stereo feature collection with geometric constraints (snapping, roof alignment, overhang awareness).
• RhinoCity: Automated generation of semantically structured, textured 3D city models (LoD1–LoD3) exported directly to CityGML and 3D Tiles for Digital Twins.

Stereoscopic Workstation

High-precision 3D vector compilation with live GIS/CAD integration.

• Multi-Source Support: Integrates aerial film, digital sensors, UAVs, satellite RPCs, LiDAR, and multispectral imagery.
• Direct CAD/GIS Sync: Live-stream captured 3D geometry into external CAD/GIS environments without intermediate file transfers via DAT/EM Capture.
• SuperImposition: Overlays existing vector data onto live stereo imagery for immediate QA/QC and change detection.

Industry-Standard LiDAR & Image Processing

Complete environment for processing airborne, mobile, UAV, and terrestrial LiDAR point clouds alongside imagery.

• TerraScan: Primary module for managing and automatically classifying large point cloud datasets (ground, vegetation, buildings, utilities, powerlines) and extracting 3D vector features.
• TerraModeler: Surface modeling and terrain mapping tool used to create Triangulated Irregular Networks (TINs), design surfaces, volume calculations, profiles, and cartographic contour lines.
• TerraMatch: Calibration and strip alignment module that eliminates systematic errors (lever arm, misalignment angles, GNSS drift) between overlapping LiDAR lines.
• TerraPhoto: Orthorectification and image visualization environment to produce orthophotos, colorize point clouds using raw survey photos, and perform radiometric adjustments.

Advanced Object-Based Image Analysis (OBIA)

Scalable platform utilizing automated rule sets and machine learning for feature extraction.

• Multi-Source Data Fusion: Integrates RGB/multispectral imagery, point clouds, DSMs, and vector layers.
• AI & Deep Learning: Automated identification of buildings, roads, vegetation, and land cover using CNN-based classifications.
• LiDAR Classification: Automatic ground, canopy, building, and utility filtering across large-scale datasets.