LRCS model verification based on the feature selective validation method

A feature selection validation (FSV) method was introduced to quantitatively evaluate the laser radar cross section (LRCS) model. To verify the performance of the LRCS model, we compared the agreement between the LRCS experimental data and the corresponding simulated data using the FSV method, the relative error and the root mean square error (RMSE) analysis, respectively. The experimental results demonstrate that the FSV method outperforms the relative error and the RMSE analysis in comprehensiveness and accuracy under the conditions of sparse experimental data and the angle offset of experimental curve.