The client is higher education and scientific research institution founded in 1919. The client has close ties with Slovenian companies and foreign enterprises. Their partners include multinational corporations and the most successful Slovenian companies. As they are fully aware of the importance of knowledge and skills in obtaining they own financial sources, they are increasingly developing their market oriented activities every year. Researchers developed an algorithm to combine reliable positional, semantical and geomorphic properties of various data to the conflated Digital Elevation model (DEM).
Imagine a Digital Elevation Model (DEM) as a soft foil hugging every aspect of the terrain that can coat all objects upon it. The data used to create these models usually comes from a large single source. The fact is that, since the millennium, the quantity of data has increased at an enormous rate, but the quality has not increased by the same degree. The motivation was the use of data from multiple sources. This goes beyond the typical research issues and the capacity of commonly used software.
Description of the Invention
A working prototype for spatial data conflation ensures better results when compared to even the best single source. An algorithm to combine reliable positional, semantical and geomorphic properties of various data to the conflated DEM has been developed. The invention is well-timed, due to recent advances in spatial data analytics and quality control, and my solutions for the national conflated DEM.
The research institution is looking for an industrial partner, active on the fields of intelligent vehicle navigation, intelligent communications, transport and storage utilities; positioning (LBS); renewable energy, water supply, communications (network planning); local, regional, national and global elevation data frame, maps, planning; climate change management; disaster/hazard management, flood risk management, insurance and prediction; natural resources conservation; agriculture, precision farming, forestry, fisheries; mining; defence and national security; maritime and aviation safety; computer forensics, security; planning space missions; tourism, health and ageing; landscape archaeology; virtual reality; applications in natural, environmental, social sciences; SMART (digital territories, cities, governance, mass appraisal, people, living, mobility, navigation, economy, environment, climate change management).