GRECO Based Fast Prediction of 3D Radar Images for Complex Targets

In a previous work, model based automatic target recognition (ATR) from synthetic aperture radar (SAR) images is implemented through matching between the three-dimensional (3D) hot scattering point images (HSPI) and the 3D back projection scattering images (BPSI), where HSPI is generated from 3D model, while BPSI is formed from SAR images projecting onto a 3D target geometrical model. A technique for fast prediction of 3D radar images for complex targets is proposed, based on the hidden-surface removal capabilities of the graphics hardware. Graphical electromagnetic computing (GRECO) is used for electromagnetic (EM) calculation and 3D HSPI generation. 3D BPSI is simulated using the graphical processing and back projection. Experimental results are presented to demonstrate the useful of the proposed technique.