线性分布的细金属柱体成像

Linear Distribution Imaging of Thin Metallic Cylinders

将改进的截断奇异值分解算法用于线性分布的细金属柱体成像计算。在散射模型中引入多极子展开分析散射体间的耦合作用,考虑一、二次散射对模型进行简化;在线性反演算法中,用截断奇异值分解正则化方法处理算法中的不适定性,并对正则化参数选取进行修正。仿真结果表明:当选取的正则化参数合适时,该法可获得较好的成像效果。

The truncated singular value decomposition was applied in the calculation of imaging thin metallic cylinders in this paper. A scattering model based on a multiple expansion accounting for mutual scattering was introduced and then simplified under the single and second order scattering hypotheses in scattering model. The truncated singular value decomposition was applied to solve the ill-posed inverse scattering equation, and the regularization parameter was revised by an appropriate method in the linear inverse algorithm. The simulation results showed that this method associated with a good method for choosing regular parameter could successfully achieve the reconstruction image.