Document Type : Research Paper

Authors

• Mojtaba Behzad Fallahpour ¹
• Hamid Dehghani ²
• Ali Jabbar Rashidi ³
• Abbas Sheikhi ⁴

¹ Ph.D student of telecommunication engineering, Malek-e Ashtar University of Technology

² Assistant Professor, Malek- e Ashtar University of Technology

³ Associate professor, department of electrical and electronic engineering, Malek e Ashtar University of Technology

⁴ Professor, department of Electronic and Computer Enginnering , University of Shiraz

Abstract

Abstract
Effective factors in SAR images can be divided into five general categories of radar, radar-carrying platform, channel, imaging domain and raw data processing section. In each of these factors, various physical, structural, hardware and software parameters are influential, in such a way that one can see the role of each of them in the final formed image.
Modeling, Analyzing and, in general, knowing the effect of each of these parameters, will provide a better understanding of how SAR imaging systems operate, and from this point of view, it will not only be an important step in designing and manufacturing these types of systems, but also it will provide the possibility of interpreting and analyzing these types of images. For this purpose, in the present paper, the effect of the angle of incidence and the shape of the targets which are parts of the radar and the imaging domain parameters, are simulated in SAR images. The shapes used in this simulation are cylinders, cones and cubes, which represent buildings, silos, tree trunks, etc., in the real world, so they are very abundant in SAR images. Also, for more comprehensive results, different angles of incidence of 30, 40, 45, 50 and 60 degrees have been selected for simulation. With this simulation and analysis of the results, the behavioral pattern of the above geometric shapes is extracted at different angles of incidence from the perspective of SAR imaging systems. Thus, an important step in identifying and recognizing various shapes, which is one of the most important issues in the interpretation of SAR images will be taken.

Keywords

• SAR
• Remote Sensing
• Signal space
• Image space
• pattern

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