2D and 3D Building Shapes

Our team developed and implemented the technology of recognizing satellite images based on Artificial Intelligence (AI). 

Building shapes are created using an automated production process of object recognition from high-resolution multispectral satellite images. Our Machine Learning methods, developed based on Convolutional Neural Networks and Deep Learning Techniques, allow 3D and 2D shapes extracting for the entire country fast and at a high accuracy level.

PRODUCT FEATURES:

  • 95% of buildings with an area > 25 sq.m matched automatically through the ML algorithm
  • 100% coverage completeness is achieved due to manual post-processing and data validation
  • X, Y, Z accuracy: ± 3m

Depending on the project’s needs, LoD 1.0/1.1, LoD 1.2/1.3 or LoD2 building footprints could be produced representing buildings and roof details with multiple heights.

The building footprints layer is delivered separately or integrated into the final product (3D city mapDigital Surface ModelDigital Height ModelClutter Heights mapCity population map)

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We guarantee

Our manager and production teams are customer-oriented professionals highly skilled in RF planning process. Our production and sales infrastructure allows to realize the projects of various difficulty, complexity and scope supporting high-level data quality

Precise and up-to-date mapping information

Detailed and high-resolution terrain

Delivery in any RF planning tool and GIS format

Extra-accurate 3D buildings

Flexible price fitted to customer budget

Flexible price fitted to customer budget

Data formats

Alcatel A955

ICS Telecom

MapInfo

Pathloss

ASCII XYZ

ER Mapper Raster

Aircom Asset

NetPlan

Microstation

Mentum Ellipse

Raster images

ENVI Image Format

Atoll Forsk

AutoCAD

Neva

Mentum Planet

TIFF and GeoTIFF

Generic Binary

CelPlanner

ESRI ArcGIS

Odyssey

Nokia NetAct

ERDAS Imagine Image

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