Oral Presentation , Page 365-370 (6)

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

¹Alaa Mohamed El-Ashkar; ²Hossam Mohamed Shendy ; ³waled Elshafai; ⁴Taha E. Taha; ⁵Adel shaker el fishawy; ¹Mohamed Abd El-Nabi; ⁶Fathi Abd El-SAmie

¹Communications and Electronics Department Faculty of Electronic Engineering, Menoufia University Menouf, Egypt

²Electronics and electrical communication, Menof faculty of electronics, Menofia university ,Egypt

³Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt

⁴Faculty of Electronic Engineering

⁵Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University, Egypt

⁶Minufia- Egypt

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.

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