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MATCH-T DSM
MATCH-T DSM stands for automation and precision in DTM and DSM extraction.
MATCH-T DSM is an automated terrain and surface extraction environment providing highly precise digital terrain models and digital surface models derived from aerial and satellite imagery. Seamless models are generated for entire image blocks.
MATCH-T has been the synonym for highly precise DTM extraction. The new MATCH-T DSM extends the previous functionality by a powerful means to acquire surface models - even in urban and forest areas - with highly dense point clouds that till now have only been achievable by LIDAR.
Best accuracy and reliability is achieved by applying advanced multi-image matching and robust data filtering. All locally overlapping images are taken into account.
In DSM mode, even narrow streets in urban areas can be detected with image overlaps of at least 60/60 percent. Surface models from MATCH-T DSM with their LIDAR-alike characteristics are well-suited for applications like city modelling.
A vast variety of organizations from all over the world rely on our experience in automatic DTM/DSM generation.
MATCH-T DSM is designed for processing the most demanding photogrammetric projects with block sizes of 20000 images and even more.
DTM Box combines MATCH-T DSM with DTMaster Stereo, our powerful photogrammetric DTM editing station. DTM Box is a complete photogrammetric DTM station, including DTM data collection, quality control and editing.
ApplicationsMaster:
The components of inpho’s photogrammetric system are delivered with ApplicationsMaster, the core of the system. It provides a comprehensive collection of basic tools for - project definition
- import and export of project, image and DTM data
- transformation into other geodetic datums and map projections
- conversion of data and project files
- support of numerous aerial and satellite image geometries
- image preprocessing and orientation
- DTM handling.
Details of ApplicationsMaster are described in the Solutions section ( Digital Photogrammetry) of this website.
 | DTM and DSM generation from aerial images (frame (nadir and oblique) and pushbroom sensors), and from various types of satellite imagery (Ikonos, Quickbird, WorldView, Spot, Landsat, IRS C/D, Aster, CartoSAT and ALOS). | |
 | One seamless DTM or DSM is generated for a user definable area, which can be any sub-block or polygon area, or the entire image block. | |
 | Projects with 20000 aerial images and more can be processed. | |
 | Intelligent multi-image matching through on-the-fly selection of the locally best suited images for DTM generation. | |
 | Extremely dense point clouds by using feature-based and least-squares matching techniques, with different strategies for DTM and DSM extraction. | |
 | Consideration of pre-measured morphological data (breaklines, 2D and 3D exclusion areas, borderlines). | |
 | DTM generation with elimination of outliers, e.g. trees, buildings, by robust finite element interpolation. | |
 | The project area may be subdivided into polygonal areas with individual, appropriate parameter settings for terrain type and terrain coverage. | |
 | Optimized point extraction by dynamic filtering of sensor noise. | |
 | Regular distribution of points also in poorly textured image areas through local auto-optimization of parameter settings. | |
 | High quality terrain representation near breaklines by adaptive parallax bound strategy. | |
 | Numerous functions for internal quality control. | |
 | On-line epipolar image resampling: | | |
 | No extra processing step | | | |
 | Necessary disk capacity reduced, no intermediate storage | | |
 | The integrated DTM Toolkit provides a flexible post-processing of DTMs, with functions like merging, splitting or tiling of DTMs. | |
 | Filtering methods are available to thin-out DTM data. | |
 | DTMs can be converted into several formats, including hybrid DTMs, TIN, raster data, or point clouds and lines: | | |
 | SCOP DTM, AutoCAD DXF-TIN, ArcGIS SHP-TIN, VRML-TIN, geocoded TIFF, BIL, FLT, Winput, XYZ | | |
 | Multi-threading of time consuming processses for efficient use of multi-core CPUs. | |
 | Optional distributed processing in combination with DPMaster. | |
 | MATCH-T DSM (DPL): | | |
 | High-volume extension using Distributed Processing technology | | | |
 | Efficiency increase by using MATCH-T DSM in a multi-core setup | | |
 | MATCH-T DSM Lite
Restricted to blocks up to 250 frame images or 12 pushbroom images, no batch-processing, no sub-block or sub-area computations, and restricted performance (no multi-threading) | |
MATCH-T DSM is well-proven and production-oriented, and offers its users significant benefits:
 | Superior productivity through: | | |
 | High processing speed | | | |
 | High level of automation | | | |
 | Optimized utilization of hardware capacity | | | |
 | Minimized user interaction for project set-up | | | |
 | Batch processing capabilities | | |
 | Superior quality through: | | |
 | High accuracy by leading-edge multi-image matching techniques | | | |
 | High reliability by internal quality control | | |
 | Easy integration into any third-party workflow. | |
 | High-end PC workstation | |
 | 4 Gbyte RAM or more | |
 | High-capacity disk system | |
 | Windows 7/Vista/XP, 64 bit | |
MATCH-T DSM is a trademark of inpho GmbH. All other brands and product names are trademarks of their respective owners.
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Please login for obtaining complete download information.
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Automatic digital terrain model extraction is done through extremely dense feature-based matching techniques, guaranteeing reliable and accurate results. |
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DTM borders may be defined covering multiple images of a photogrammetric block. |
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MATCH-T generates regular grids or thinned-out irregular point clouds. Pre-measured morphological data is rigorously considered. Millions of automatically matched points are used for the robust interpolation of the DTM grid. Grid codes help to analyze quality and morphology. |
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