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 map, Digital Surface Model, Digital Height Model, Clutter Heights map, City population map)
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
Order product
Please, contact us directly if you have question
We always reply within 24 hours