Developer: Saint Petersburg Mining University
Industry
Digital Design and Modeling
Project Research Team
Head: Alexey Borisovich Makhovikov Research Team: Alina Alexandrovna Kochneva
Scientific Novelty
The novelty of the presented software package lies in the use of proprietary algorithms for interpolation, extraction of key terrain points, and statistical evaluation of digital elevation model indicators, which have demonstrated superior efficiency and speed when processing large datasets compared to existing analogues. The software utilizes proprietary algorithms that implement: uniform distribution of obtained elevation values across a coordinate grid; calculation of intermediate elevation values; elimination of redundant points on elevation maps; adjustment of coordinate grid resolution; extraction of key terrain features; and statistical evaluation of digital elevation model parameters, including model accuracy post-data interpolation. These task-specific algorithms have proven their efficiency and performance in handling large-scale data volumes.
Advantages
Unlike its counterparts, the complex is provided to the buyer not only as a standalone application but also as a framework that can be transparently integrated into an established geodetic survey process. Furthermore, the presented software complex allows for parallel computing on large datasets across multiple stations. The complex includes detailed documentation for each applied algorithm and detailed visualization of program stages, allowing the operator to influence the calculation process as needed.
Commercial Implementation
The software can be used by companies and organizations performing geodetic surveys that require processing massive datasets for digital terrain modeling, as well as by companies working under government contracts for infrastructure development, such as the construction of highways, residential areas, and industrial facilities.
Development Stage
Project
Required investment
4,700,000.00 RUB
Investor's share in the project
49%
Protection documents
Investments
Database of innovative projects of the Mining University