| dc.description.abstract | It contributes to the design of the radar systematic parameters to form the synthetic aperture radar (SAR) simulated image. It is helpful to mission design of a radar system if we establish the image simulation system. Different from faster practice: let the backscattering coefficient of each pixel be the performance of SAR image, this research formation the SAR image in the view point of radar echo signal processing, in order to try to get more correct result.
The purpose of this research is to simulate the HH and VV polarimetric stripmap mode SAR image of a randomly rough surface. The main concept is that according to the information of target area, estimates the backscattering coefficient under different polarization and only concerned surface backscattering. Then combining the backscattering information with radar echo equation the raw data formed. After that, processing raw data by match filtering, we can get a single look slant range SAR image. In this research, the randomly rough surface is constructed by the fractal theory and approached by facet model. Considering the factor influencing formation of image, this research has changed the surface roughness, looking angle, and the relative permittivity of land cover. The radar image happens to differentiate simulation in above-mentioned different cases, in order to compare the differently. At last, verified the exactness of the simulation image by putting a strong scatter into target scene and observing the formation of SAR image.
According to the result of simulation, the simulated images have the same geometry structure with the target scene, and the VV polarized image is brighter than the HH one, it is identical with the scattering theory. Besides, it is a satisfactory achievement that the strong backscatter which is put into target scene can be formed correctly in the image. | en_US |