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Compressed Sensing for SAR Image Reconstruction

Article

Last updated: 13 Dec 2022

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Subjects

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Tags

Radar imaging
SAR imaging
Synthetic aperture radar (SAR)
range Doppler algorithm (RDA)
Compression techniques
Compressed Sensing (CS)
Compressed Sensing for SAR Image Reconstruction
2021 International Conference on Electronic Engineering (ICEEM)

Abstract

Synthetic aperture radar (SAR) is a common radar imaging technique in a variety of applications .SAR imaging relies on keeping eye on targets and imaging from various angles by synchronizing the movement of antenna with the target of interest. Large size of SAR Image comparing with storage hardware limitations or connection capacity limitations produced the need of using compression techniques. The primary propose of this paper is to introduce an effective compression technique that can reach high compression rates while retaining critical information without damage or lost. Compressed Sensing (CS) represents a reliable, highly dependable and effective choice. Using of CS with SAR model is presented in this paper. Both Visual and numerical results indicates the full success and reliability of the presented model.

Keywords

Radar imaging, SAR imaging, Synthetic aperture radar (SAR), range Doppler algorithm (RDA), Compression techniques, Compressed Sensing (CS)

Authors

First Name

Alaa

Last Name

El-Ashkar

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering, Menoufia University Menouf, Egypt

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City

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Orcid

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First Name

Hossam

Last Name

Shendy

Affiliation

Electronics and electrical communication, Menof faculty of electronics, Menofia university ,Egypt

Email

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City

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Orcid

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First Name

waled

Last Name

Elshafai

Affiliation

Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt

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City

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Orcid

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First Name

Taha

Last Name

Elsayed Taha

Affiliation

Faculty of Electronic Engineering

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City

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Orcid

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First Name

Adel

Last Name

EL-Fishawy

Affiliation

Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University, Egypt

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City

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Orcid

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First Name

Mohamed

Last Name

Abd El-Nabi

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering, Menoufia University Menouf, Egypt

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City

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Orcid

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First Name

Fathi

Last Name

Abd El-SAmie

Affiliation

Minufia- Egypt

Email

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City

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Orcid

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Volume

2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021

Issue Date

1 Jan 2021

Publish Date

21 Jun 2021

Page Start

365

Page End

370

Link

https://iceem2021.conferences.ekb.eg/article_1178.html

Order

66

Publication Type

Conference

Publication Title

2021 International Conference on Electronic Engineering (ICEEM)

Publication Link

https://iceem2021.conferences.ekb.eg/

Details

Type

Article

Locale

en

Created At

13 Dec 2022