rus
Issue #4/2026
A. V. Lenshin, E. V. Kravtsov, A. A. Bolkunov, I. A. Sidorenko
Application of Neural Networks to Improve the Reliability of Assessing the Capabilities of Television Reconnaissance Equipment
Application of Neural Networks to Improve the Reliability of Assessing the Capabilities of Television Reconnaissance Equipment
DOI: 10.22184/1993-7296.FRos.2026.20.4.284.296
This article proposes a methodological approach to enhancing the timeliness of assessing the capabilities of television reconnaissance systems through the application of up-to-date technologies, including neural networks. A combined methodology is introduced, integrating an algorithmic method developed in the previous stage, based on the object brightness coefficients, background specifications, and critical target sizes, with the modern computer technologies. Particular emphasis is placed on the integration of convolutional neural networks to automate image processing, improve recognition accuracy, and minimize subjective factors.
Tags: camouflaging convolutional neural networks object recognition operational assessment reconnaissance countermeasures television reconnaissance маскировка оперативная оценка противодействие разведке распознавание объектов сверточные нейронные сети телевизионная разведка
Subscribe to the journal Photonics Russia to read the full article.
This article proposes a methodological approach to enhancing the timeliness of assessing the capabilities of television reconnaissance systems through the application of up-to-date technologies, including neural networks. A combined methodology is introduced, integrating an algorithmic method developed in the previous stage, based on the object brightness coefficients, background specifications, and critical target sizes, with the modern computer technologies. Particular emphasis is placed on the integration of convolutional neural networks to automate image processing, improve recognition accuracy, and minimize subjective factors.
Tags: camouflaging convolutional neural networks object recognition operational assessment reconnaissance countermeasures television reconnaissance маскировка оперативная оценка противодействие разведке распознавание объектов сверточные нейронные сети телевизионная разведка
Subscribe to the journal Photonics Russia to read the full article.
Readers feedback
