City-Scale Large Scenarios · 99.9%+ Aerial Triangulation Success Rate · Efficient & Intelligent Reality 3D Reconstruction
99.9%+ aerial triangulation success rate, sparse control point-assisted adjustment, effortlessly handles complex/massive data scenarios.
26x faster than traditional algorithms, 20-minute bundle adjustment for 13,682 images, single calculation for millions of data.
Full support for diverse inputs: satellite images, aerial photography, UAV data, mobile shots, laser/structured light scanning.
Adaptive matching for weak texture areas, combined LiDAR point cloud modeling, superior detail restoration.
Works with global mainstream OS & hardware, outputs international standard results (DEM, DSM, DOM, TDOM).
One-click auto-classification, smart mosaic line optimization, reduces expertise requirements & boosts efficiency.

Parallel free-network tech + GPU-accelerated bundle adjustment, paired with self-developed M3At system, maximizes internal/external orientation element separation, advanced gross error elimination, balancing speed & accuracy.
Supports GPS-assisted sparse control point adjustment (high precision via four-corner/four-corner + center layout) and control-point-free high-precision adjustment.


Single-machine multi-engine support, stable Redis-powered collaboration, master node auto-identifies activated nodes, no manual project path setup.
Single-machine multi-engine support, stable Redis-powered collaboration, master node auto-identifies activated nodes, no manual project path setup.


Processes 10,000 UAV images in 45 minutes (fast mode); regular mode delivers thorough detail, balancing efficiency & precision.

Advanced algorithms avoid buildings/abrupt color areas; supports interactive editing with real-time preview for professional seam refinement.

Compensates for uneven brightness/color; paired with ground point filtering to minimize distortion/misalignment, ensuring uniform color & sharp details.

Exports standard results (DOM, TDOM, high-precision DSM) and common formats (KML), adapting to diverse application scenarios.

Supports LiDAR point cloud + multi-view images, air-ground/indoor-outdoor data synergy; replaces field control points, reducing labor costs.
Integrates multiple strategies, adapts to weak texture areas, resolves point cloud surface reconstruction & over-smoothing; Mesh optimization enhances details.


Fast clipping/blocking of massive point clouds, automatic texture baking & LOD level model generation; suits small objects/cultural relics and city-scale terrain reconstruction.
Supports model format conversion (e.g., OSGB→B3DM), point-line-surface measurement; uploadable to WEB platform for real-time collaboration, adapting to multi-scenario needs.


Supports multiple point cloud formats (las, txt, ply, xyz, etc.), enabling fast loading & saving to flexibly meet data processing needs.

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.

Dual-window synchronous viewing, custom coloring, TIN/Delaunay triangulation generation & quick selection, intuitively displaying terrain & data details; processed DEM can be directly imported for orthophoto production.

Delivers efficient mapping for global surveying/design firms, aligns with global standards, supports industrial park planning.

Serves professional scenarios (land rights, surveys), provides reliable data via high-precision processing.

Creates authentic virtual environments, delivers high-precision 3D data, enables urban/park digital management & analysis.

Quickly presents disaster area terrain, aids accurate disaster assessment, and supports rescue decision-making.

Supports slope analysis & earthwork calculation, visualizes terrain/building deformation, secures project safety.

Meets real-time orthophoto, 3D modeling, and satellite image modeling needs, adapting to high-precision & high-stability requirements.
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