In recent years, synthetic aperture radar (SAR) images have played an important role in the detection and monitoring of ground targets because of their advantages such as independence from climatic conditions and sensitivity to the target geometry. The complexity of SAR imaging sensors, especially in the conversion process from raw data to image, has made it difficult to interpret the behavior of sensors and their images. Hence, using the simulation of SAR images can be effective in resolving this problem. In this regard, SAR image simulation of three-dimensional objects is an essential step. In this paper, a method is presented to simulate SAR images of three-dimensional targets and, thus, the polarimetric scattering matrix for pure and distributed targets is developed. Also, the effects of sensor parameters and the geometry of target are investigated in simulating the SAR images of 3D targets.
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