
- Description
- Specifications
- In the Box
- FAQ
PIX4Dmatic: Scalable Desktop Photogrammetry For High-Density Reconstruction
PIX4Dmatic is a desktop photogrammetry application designed to efficiently process large RGB drone and terrestrial datasets into accurate 3D models and mapping products. Built for professionals handling complex geospatial projects, it generates dense point clouds, 3D textured meshes, DSMs, and orthomosaics using scalable algorithms optimized for performance.
Running locally on Windows and macOS, PIX4Dmatic provides advanced coordinate system support and native RTK/PPK integration for high-precision reconstruction workflows.
Platform Highlights And Technical Capabilities
- Large dataset performance: designed for extensive image collections.
- Efficient reconstruction engine: generate dense outputs rapidly.
- RTK and PPK integration: support precise positioning workflows.
- Dense point cloud output: produce high-density 3D datasets.
- Textured mesh generation: create detailed surface models.
- Dsm and orthomosaic products: deliver mapping-ready outputs.
- Coordinate system support: utilize modern grid and geoid models.
- Terrestrial workflow capability: process highly oblique imagery.
- Rgb-only processing: optimized specifically for RGB datasets.
- Cloud sharing option: upload results to pix4dcloud.
PIX4Dmatic supports professionals who require scalable performance for demanding reconstruction tasks. Its ability to process thousands of images, handle advanced coordinate systems, and integrate RTK/PPK data makes it well suited for survey and infrastructure projects. It provides an efficient desktop workflow tailored for high-density RGB photogrammetry.
Dronefly delivers complete UAV Solutions Lifecycle Partnership Programs that integrate aircraft, sensors, and software into cohesive operational workflows. Getting PIX4Dmatic through Dronefly ensures your large-scale photogrammetry projects are supported from capture through final deliverables. Contact Dronefly to deploy PIX4Dmatic within your geospatial operations.