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To process data from Russian remote sensing satellites, it is proposed to use neural networks
29.10.2021 [08:55],
Sergey Karasev

The Russian Research and Production Concern “BARL” proposed a project of a neural network system designed to receive and process information from domestic Earth remote sensing satellites (ERS).

According to TASS, the advanced solution has already been demonstrated to the head of the state corporation Roscosmos Dmitry Rogozin. It is assumed that the use of neural networks will improve the efficiency of data analysis from remote sensing devices and expand the scope of their application.

It is noted that Mr. Rogozin recently visited the BARL concern: at a meeting with the management of the enterprise, the development of public-private partnerships in the field of creating modern space remote sensing systems was discussed.

“The head of the state corporation was shown fundamentally new developments of BARL in the field of receiving and processing data from spacecraft for remote sensing of the Earth using neural networks,” TASS said.

Specialists of the BARL concern, among other things, develop the latest hardware and software solutions for visualizing information from Earth remote sensing satellites.

We add that next year Russia will start implementing a large-scale project “Sphere” to form a multipurpose space constellation of more than 600 satellites. It will include, in particular, about 250 ERS devices for various purposes.

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