Development and research of the effectiveness of an algorithm for adaptive variation of the frame rate of video information

Аuthors

Chichkanov A. S.

Air force academy named after professor N.E. Zhukovskii and Y.A. Gagarin, Voronezh, Russia

e-mail: a_chichkanov1983@mail.ru

Abstract

Technical vision systems (TVS) included in unmanned aerial vehicles (UAVs) as a payload are indispensable in the construction of monitoring of the earth's surface systems and complexes. The real-time video information received from the TVS is transmitted to the ground control center (GCC) and is used both to assess the environment, navigate and form control commands for the operator, and for automatic interpretation of video data received from television cameras, followed by identification or classification of objects observed in a controlled space. Freeing operator from performing routine actions significantly increases the efficiency of management, however, when using an automated complex, it remains possible for a specialist to intervene in emergency or ambiguous situations. This explains the increased demands placed on the quality of the video image: the video data transmission system must provide the most reliable and complete visual information with minimal distortion.
The limited bandwidth of existing UAV-GCC communication channels does not allow large streams of video data to be transmitted without compression. This explains the need to synthesize new methods for processing and encoding dynamically changing images, allowing them to adapt to changes in the electronic environment and the volume of information transmitted.
The purpose of this work is to develop and study the effectiveness of an algorithm for adaptive variation of the frame rate of video information depending on the phono-target environment in the UAV viewing area. The use of this method will optimize the number of frequency components and the frequency band used by the OFDM signal to transmit information in the communication channel of the UAV-GCC depending on the number of objects of interest in the field of view of the on-board vision system, that is, to adaptively change the "active" bandwidth of the OFDM signal depending on the volume transmitted in the communication channel. information.

Keywords:

unmanned aerial vehicle, monitoring of the earth's surface, target environment, frame rate, object of interest, frequency resource, ground control center.

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