KPGeo implements the project entitled "Machine learning and monoscopic satellite imagery in generation of 2.5D building models".

The aim of the project is to develop the technology that allows for the automatic acquisition of building outlines and automatic acquisition of information about their height. This technology is to be based on machine learning, in particular on artificial neural networks. Monoscopic satellite images and metadata associated with these images are to serve as input data to the technological process. Obtaining the outlines of buildings and their heights from this type of data is an innovative solution of the Applicant, unique on a global scale.

The advantage of this type of solution, compared to the solutions currently available on the market, will be a faster and cheaper way to obtain 2.5D building models. These models are widely used in various fields, for example: spatial planning, telecommunications, noise analysis, and aviation. Reducing the costs of obtaining such models will allow access for entities and applications for which the price of this type of product was a barrier.

The project will be implemented in the period from 01.07.2021 to 30.06.2023.
Project value: 1,807,375.00 PLN Contribution of European Funds: 1,386,175.00 PLN


    KPGeo Sp. z o.o.
    ul. Królewska 65
    30-081 Kraków, Poland
    T: +48 12 379 3170


    KPGeo LLC
    8801 Birch Lane
    Prairie Village, KS 66207
    Tel. +1 816-695-3357