February 29, 2024
Amin Torabi Jahromi

Amin Torabi Jahromi

Academic Rank: Assistant professor
Degree: Ph.D in Electrical Engineering
Phone: 09171023389
Faculty: Faculty of Intelligent Systems and Data Science


Simulation of SAR Imaging Process for Target Detection In Subsurface Radar Images
Type Thesis
رادار دهانه مصنوع ي، رادار سار، الگوريتم برد داپلر، داده خام، شبيه سازي
Researchers Marziye Shieazadeh (Student) , Amin Torabi Jahromi (Primary advisor) , Hojat Ghimatgar (Primary advisor)


Background: Identification and detection of targets is one of the important fields in military and civilian applications, which is done using visible data, radar, etc. Recently, detection of ground and underground targets with the help of SAR artificial aperture radar images has been widely used. Aim: Artificial aperture radar is an active microwave system that provides unique 2D and 3D images of the Earth and its surface changes. The main focus of this thesis is to simulate and evaluate the SAR imaging process of a target. Methodology: For this purpose, the reflective signal of the structure must be collected first, which is actually the raw data required for processing. Unfortunately, few research centers have SAR meters to provide their data to researchers interested in this field. Therefore, according to the necessity of the problem, in this thesis, a SAR image simulator algorithm is proposed in order to generate raw SAR data. In order to simulate the imaging of SAR radar in the operational band mode, first the required raw data was generated by calculating the far field and asymptotic methods, which theoretically include geometric light methods, full wave and uniform diffraction theory, then with the algorithm RDA signal processing has processed the raw data and the output images have been extracted. This phase is done in MATLAB software by creating a connection between the matrix output from FEKO and MATLAB. After extracting the radar images of the desired targets, the features and characteristics of the output images have been obtained to recognize the geometric shape by applying the existing methods in the field of image processing. This operation uses MATLAB software and image processing methods to extract three features including: environment, area and center point inside the images, and then by using these features and calculating the ratio of environment to area, the geometric shape of the targets can be recognized. Findings: The use of remote field in o