Buildings, roads, vegetation
Extracting objects from imagery and models to create thematic layers and support territory inventories.
We extract objects, thematic layers, and elevation characteristics from satellite imagery, aerial photography, and 3D stereo models—for cities, design, telecom infrastructure, and territory analysis.
Neural-network methods accelerate the processing of large territories: they help detect and classify objects, assess their characteristics, and create thematic layers for further work in GIS and 3D environments.
We automate routine operations across large areas while maintaining expert review wherever results require additional verification.
We select the technology and source data according to the required level of detail, territory, target product, and acceptable accuracy.
Extracting objects from imagery and models to create thematic layers and support territory inventories.
Estimating the height of buildings and objects from satellite imagery or precise 3D stereo models.
Comparing data from different periods to identify new construction, object changes, and territory conditions.
Preparing data for elevation-based design, solar access studies, visibility analysis, and telecom network planning.
We derive building elevation characteristics from satellite imagery with accuracy of up to 3 metres. This makes it possible to rapidly obtain an initial height context across large territories without detailed surveying of every individual site.
We use a 3D stereo model of the territory as a spatial foundation for analysing objects and their relative positions.
We extract elevation characteristics of buildings and objects from stereo models with accuracy of up to 30 cm.
We identify buildings, development elements, roads, vegetation, and other object classes for thematic layers.
We deliver results for elevation-based design, spatial analysis, GIS, and information systems.
Building heights, development density, and the territory's 3D context are essential when planning telecom infrastructure. Neural networks and 3D data help rapidly prepare the spatial foundation required for these tasks.
Buildings, roads, vegetation, infrastructure, and other object classes for GIS and information systems.
Height estimates accurate to 3 metres for rapid analysis of large territories.
Object elevation characteristics accurate to 30 cm for more detailed tasks.
Structured spatial information for design, analysis, and digital twins.
A spatial foundation for assessing heights, visibility, obstacles, and network planning.
We combine neural-network analysis, 3D modelling, and geospatial expertise.
Describe the territory, available source data, and the desired result. We will select the processing technology, required accuracy, and data delivery format.
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