From Image to Georeferenced Reality
Did you know that although the first image from space was taken in 1946 and Landsat sensors have a commercial use since 1980, sub-meter imagery has been actively used only for the last 15 years?
More than 12 sensors with the resolution from 0,25m and better are currently commercially available on the market, which leads to a constant increase of capability for further detalization of digital mapping products. Owing to the usage of AI/ML technics for imagery processing, the increasing data amounts can be processed and Geocode reference data can be extracted not only for precise city map but also for modeling at a countrywide scale.
The Geocode reference data bring a complex representation of reality and utilizes all available location data into the united homogeneous model. It also can become a crucial factor in Telecom/Urban Planning/GIS and Web-application empowering the market needs with extra accuracy. Application of precise and more detailed geodata opens new opportunities for the implementation of new 5G services, gives an ability to conduct a realistic accurate mapping for Telecom, GIS, Simulation markets.
Visicom Georeferenced digital models for such challenging sectors like Urban planning, Countrywide planning for Telecom, IoT, web-applications etc., including Linear, Polygon and Point Reference Datasets, which in the context of scalable digital maps, mean:
• Countrywide maps: accurate and detailed land use (clutter) classification, administrative and settlements boundaries with assigned names, zip-code (postal code) boundaries, population distribution model, POIs, address data.
• City maps: heights/floors attribute, classification of buildings by general types, adding the accurate rooftop address data (both in English and in local language), postal code attributes and POIs for buildings; names and navigation attributes for roads.