Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

High-performance remote sensing payload communication is a vital problem in air-borne and space-borne surveillance systems. Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed...

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Vydáno v:EURASIP journal on wireless communications and networking Ročník 2019; číslo 1; s. 1 - 10
Hlavní autoři: Khosravi, Mohammad R., Samadi, Sadegh
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 29.11.2019
Springer Nature B.V
SpringerOpen
Témata:
Agglomeration
Communications Engineering
Data management
Discrete cosine transform
Discrete cosine transform (DCT)
Engineering
Ground stations
Information Systems Applications (incl.Internet)
Internet of things (IoT)
Interpolation
Interpolation-based data hiding (IBDH)
Multi-modal Sensor Data Fusion in Internet of Things
Networks
New technology
Remote sensing
Signal,Image and Speech Processing
Surveillance radar
Surveillance systems
Synthetic aperture radar
Video synthetic aperture radar (ViSAR)
ViSAR sensor networks
Wireless networks
Video synthetic aperture radar (ViSAR)
Discrete cosine transform (DCT)
ViSAR sensor networks
Internet of things (IoT)
Interpolation-based data hiding (IBDH)
ISSN:1687-1499, 1687-1472, 1687-1499
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Popis
Shrnutí:High-performance remote sensing payload communication is a vital problem in air-borne and space-borne surveillance systems. Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed, aggregated, and communicated from a radar platform (or a network of radars) to a ground station through wireless links. In this paper, a new data aggregation technique is proposed towards efficient payload transmission in a network of aerial ViSAR vehicles. Our proposed method is a combination of a recent interpolation-based data hiding (IBDH) technique and visual data transformation process using discrete cosine transform (DCT) which is able to outperform the reference method in terms of data aggregation ability.
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ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-019-1572-4