Method of neural network recognition of ground-based air objects

Рубан, Ігор; Smelyakov, Kirill; Martovytskyi, Vitalii; Dmitry, Pribylnov; Bolohova, Nataliia

doi:10.1109/dessert.2018.8409200

Cited by 20 publications

(6 citation statements)

References 4 publications

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“…Thus, there are restrictions on the computational complexity of compression algorithms (on the number and type of operations ( ) r cm H ) and recovery (on the number and type of operations ( ) n Hv ) of video data. The type of computational operations means arithmetic (addition, multiplication, division) and non-arithmetic (comparison, reading or writing to a storage device) operations, as shown in [21]. In terms of time characteristics, let's obtain the time T k accordingly (according to formula 7) for compression and time T v (according to formula 8) to restore the video information resource: -the total number of addition (subtraction) and multiplication (division) operations, respectively, spent on image compression; ( ) ; ,…”

Section: Methods With Irreversible Changesmentioning

confidence: 99%

Development of an Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

Yevseiev

Abdalla

Осієвський

et al. 2020

EUREKA: Physics and Engineering

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The Earth's aerospace monitoring (ASM) systems use state-of-the-art integrated information technologies that include radio-based detection and surveillance systems using telecommunications. One of the main tasks of ASM systems is to increase the efficiency of decision-making necessary for the timely prevention, detection, localization and elimination of crisis situations and their probable consequences. Modern conditions impose stricter requirements for efficiency, reliability and quality of the provided video data. To ensure compliance with the requirements, it is necessary to provide the appropriate capabilities of the onboard equipment. On the basis of the existing information and communication systems it is necessary to carry out: continuous or periodic assessment of a condition of objects of supervision and control; continuous (operational) collection, reception, transmission, processing, analysis and display of information resources. It is proposed to use UAVs (unmanned aerial vehicles) as a means to perform ASM tasks. The time of organizing communication sessions and delivery of information should vary from a few seconds to 2.5 hours. Untimely processing and delivery of a specific information resource in the management process leads to its obsolescence or loss of relevance, which contributes to erroneous decisions. One way to reduce time is to encode the data. To do this, it is proposed to use video compression algorithms. However, based on the analysis of the possibility of modern methods of video information compression, taking into account the specifics of the onboard equipment of the UAV, the coding problem is not completely solved. The research results show the expediency of using an improved method of video information compression to reduce the computing resources of the software and hardware complex of the onboard UAV equipment and to ensure the requirements for efficiency and reliability of data in modern threats to ASM systems as a whole.

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Section: Methods With Irreversible Changesmentioning

confidence: 99%

Development of an Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

Yevseiev

Abdalla

Осієвський

et al. 2020

EUREKA: Physics and Engineering

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“…The rapid development of information technologies led to the use of unidirectional specific images transmission in computer systems. According to that, in order to improve the quality of computer systems in public institutions, active implementation of such systems is taking place [1][2][3]. The main difficulty in working with video are large volumes of transmitted information and sensitivity to delays in the video information transmission.…”

Section: Introductionmentioning

confidence: 99%

Research of Images Filtration Methods in Computer Systems

Tymochko

Larin

Kolmykov

et al. 2021

A.I.S.

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It is known that human eyes are less sensitive to color, than to their brightness. In the RGB color space, all three components are considered equally important, and they are usually stored with the same resolution. However, you can display a color image more efficiently, separating the brightness from color information and presenting it with a higher resolution than color. RGB space is well suited for computer graphics, because it uses these three components for color formation. However, RGB space is not very effective when it comes to real images. The fact is that to save the color of an image, you need to know and store all three components of the RGB, and if one of them is missing, it will greatly distort the visual image representation. Also, when processing images in RGB space, it is not always convenient to perform any pixel conversion, because, in this case, it will be necessary to list all three values of the RGB component and write back. This greatly reduces the performance of various image processing algorithms. For these and other reasons, many video standards use brightness and two signals that carry information about the red and blue components of the signal, as a color model other than RGB. The most famous among such spaces is YCbCr.

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“…Due to the importance of the resulting image's content, it is necessary to minimize the time for the processing and bringing the given aerial photo in conditions of maintaining the necessary level of the restored image's correspondence to the original [2]. In the process of aerial photography, in various specialized devices, the mathematical description of the image is used as a twodimensional signal, which is characterized by some volume of information [3].…”

Section: Introductionmentioning

confidence: 99%

Method of Processing Video Information Resource for Aircraft Navigation Systems and Motion Control

Tymochko

Larin

Осієвський

et al. 2020

A.I.S.

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Ab s t r a c t. It has been considered the existing methods of processing of video information resource in modern aircraft navigation systems and motion control. Also it is indicated that there is a contradiction between the need to reduce the intensity of information resource for strongly saturated fragments and to maintain the correspondence of recovered fragments to the original aerial photo. It has been described the components' characteristics of the transforming for the image's areas with varying structure complexity. The rationalization of the dividing strategy is based on the complexity of aerial photographs is substantiated. It is proposed to quantize the transformation's description of an aerial video information segment in relation to the base element's value vector to a certain threshold value. The reduction of combinatorial redundancy as a result of the application of top-level quantized levels array in a separable space is substantiated. K e ywor d s : image; aerial photo; transforms; redundancy; coding; quantization; orthogonal transformation; matrix; data; high-frequency component. Research bases To create this strategy, it is necessary to consider the process of valuation in more detail. When digital Creature of index segment value Y, C b , C r-representation Decentralization by segments Getting transformants Unification of elements transformant Frequency processing constituents Outgoing description Creature of code image representation RGB-representation

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Method of neural network recognition of ground-based air objects

Cited by 20 publications

References 4 publications

Development of an Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

Development of an Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

Research of Images Filtration Methods in Computer Systems

Method of Processing Video Information Resource for Aircraft Navigation Systems and Motion Control

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