Vadim Nenashev, head of the machine learning laboratory of the SUAI engineering school, said that the main advantage of the system is the use of new data processing methods that allow the integration of information from on-board radar and optical systems. These algorithms enable the detection of small objects on a variety of surfaces, including land, sea, ice and forests. The system is also capable of detecting the coastal zone and assessing the condition of water areas.
This technology is an important tool for monitoring during emergencies and environmental disasters, as well as for predicting and preventing natural and human-caused emergencies. It also uses special sensors to monitor parameters such as temperature, chemical and radioactive emissions, and mechanical stresses that can lead to the destruction of man-made objects, the press service added.
The system also includes digital land maps created using airborne radar systems, which can be useful in assessing the condition of forests and agricultural lands.
Source: Ferra
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