对战场上几种常见目标的激光散射特性进行了实验研究，通过实验测量，得出6种类型目标平面样片的大量数据。在此基础上，应用两种BRDF经验模型，采用遗传算法对BRDF模型中的未知参数进行了优化求解，并使用SSE和R-square评价指标参数对各经验模型的适应性进行了评估。最后得出：基于Torrance-Sparrow模型的五参数半经验统计模型适应性最强，它对6种类型目标平面样片的实验数据均能很好地拟合。

Scattering characteristics of several common objects in battlefield were studied. Massive data of six types of object samples were obtained by experiments, and two bidirectional reflectance distribution function (BRDF) models were established by using the data. The unknown parameters in BRDF models were gained by genetic algorithm. The SSE and R-square indices were introduced to evaluate the adaptability of models. Results show that the five parameters semi-empirical model has better adaptability, which is fitted for the experiment data of the six-type plane samples.