City-Scale 3D Reconstruction · 99.9%+ Aerial Triangulation Success Rate · Efficient Processing for Massive Datasets
Supports robust aerial triangulation for large and complex datasets, with sparse-control-point-assisted adjustment and a 99.9%+ success rate achieved in validated projects.
Delivers up to 26× faster bundle adjustment than traditional algorithms in validated benchmark tests, processing 13,682 images in 20 minutes and scaling to million-image datasets.
Supports multiple data sources, including satellite imagery, aerial photography, UAV imagery, mobile imagery, LiDAR and structured-light scanning.
Adaptive matching improves reconstruction in weak-texture areas, while LiDAR integration supports more complete geometry and surface detail.
Compatible with mainstream operating systems and hardware environments, with outputs including DEM, DSM, DOM and TDOM.
Automates routine tasks such as classification and seamline optimization to streamline production workflows and reduce manual processing.

Combines parallel free-network adjustment with GPU-accelerated bundle adjustment in the in-house M3At engine, improving processing efficiency, gross-error handling and adjustment stability.
Supports GPS-assisted adjustment with sparse control points, including four-corner and four-corner-plus-center layouts, as well as control-point-free adjustment workflows.


Supports multi-engine processing on a single workstation and Redis-based collaboration across nodes, with automatic node discovery and no manual project-path configuration.
Single-machine multi-engine support, stable Redis-powered collaboration, master node auto-identifies activated nodes, no manual project path setup.


Fast mode processes 10,000 UAV images in 45 minutes under tested conditions, while standard mode prioritizes detail and output quality.

Intelligent Seamline Optimization — Automatically optimizes seamline placement around buildings and abrupt color transitions, with interactive editing and real-time preview for manual refinement.

Radiometric & Color Balancing — Compensates for brightness and color variation across imagery to improve visual consistency and reduce visible mosaic artifacts.

Exports DOM, TDOM and DSM products, with support for KML and other commonly used formats.

Supports joint reconstruction from LiDAR point clouds and multi-view imagery across aerial, ground, indoor and outdoor data sources, reducing dependence on field control points in supported workflows.
Combines multiple dense-matching strategies to improve reconstruction in weak-texture areas and reduce over-smoothing, with mesh optimization for finer surface detail.


Supports rapid point-cloud tiling, automatic texture baking and LOD generation for both object-scale and city-scale reconstruction.
Supports model conversion such as OSGB to B3DM, point/line/area measurement, and web-platform publishing for collaborative viewing and analysis.


Supports common point-cloud formats including LAS, TXT, PLY and XYZ for efficient loading, processing and export.

One-click auto-classification (90% accuracy, supports custom parameters); supervised classification with random forest algorithm, allowing custom category training (over 80% accuracy) and trainable model parameter reuse.

Provides synchronized dual-window viewing, custom coloring, TIN/Delaunay triangulation, rapid selection tools and DEM outputs for downstream orthophoto production.

Surveying & Planning — Supports efficient mapping and 3D data production for surveying, engineering design and large-area planning workflows.

Supports cadastral and land-parcel surveying workflows with detailed spatial data for mapping and measurement.

Provides detailed 3D spatial models for urban, industrial and park-level digital twin applications, supporting visualization, measurement and spatial analysis.

Rapidly reconstructs disaster-affected terrain and site conditions to support damage assessment, situational understanding and response planning.

Supports slope analysis, earthwork calculation and multi-temporal terrain or structure comparison for deformation assessment and project monitoring.

Supports orthophoto production, 3D reconstruction and satellite-image modeling for applications requiring high processing accuracy and stability.
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