Computer Engineering Commons^™

Sar Object Recognition Based On Multi-Band And Multi-Polarization Simulation Image, Gu Yu, Zhang Qin, Xu Ying

Journal of System Simulation

Abstract: The object model was built based on Creator, and object texture-material mapping was performed by Vega TMM tool. The multi-band and multi-polarization SAR image database was built by visual simulation technology. A hybrid intelligent optimization algorithm was designed to optimize combination of band and polarization by genetic algorithm and binary particle optimization. Zernike moment features, Gabor wavelet coefficients, etc were extracted from original image and rectified image to make up of feature candidates, and the feature selection experiments were carried out by using multi-band and multi-polarization SAR images. Simulation results demonstrate that, building SAR image database through simulation …