Raw data simulation of large scale environments including complex targets for synthetic SAR image generation

PIERS2017

Synthetic Aperture Radars (SAR) are considered for their all-weather capacities to achieve target detection, recognition and even identification, in the frame of surveillance, targeting and guidance systems. This type of sophisticated radar can produce high quality images with very complex features such as dihedral and corner reflector high scattering contributors, shadows and lay over effects. Besides, image quality is very dependent on the carrier velocity and trajectory. The mechanisms that govern such sensor systems are so complex that simulation ins needed to assess their performance in a large variety of operational conditions. And the synthetic environment, which means physical target and its background (terrains, buildings, vegetation and other entities) rather than just the target itself, is very import for such sensors system simulation.

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