摘要
为降低战场目标的发现概率,提高战术装备与重要设施的生存概率,针对当前常用的绿色涂料在偏振性能上与真实植被差别较大的问题,改进浅绿色伪装涂料的偏振性能,通过表面粗糙度改性增强其退偏振能力。应用穆勒矩阵和斯托克斯矢量的对应关系,采用穆勒矩阵测试光学平台,分别得到绿色植物叶片、改性前后浅绿伪装涂料的穆勒矩阵,并对比分析样品的退偏振系数和不同入射斯托克斯矢量下的偏振度。结果表明,该方法可以使浅绿色伪装涂料在632.8μm激光探测条件下的偏振性能与真实树叶更为接近,应用于伪装目标的表面可有效降低激光探测发现概率。
By reducing the camouflage target detection probability,the survival probability of tactical equip- ment and important facilities can be increased. Given the great difference of the polarization ability between original painting and true green plants, a method was presented which changes the roughness to increase the ability of polarization and improve the polarization degree of shallow green paint on camouflage equip- ment. Meanwhile, the relationship of the Muller matrix and Stokes vector, and Muller matrix optical plat- form were used to get the Muller matrix of green plant leafs and shallow green camouflage painting before and after modification. The depolarization degree and the polarization with different incident stokes vectors of the sample were analyzed. The results shows that the method can improve the polarization camouflage a- bility of shallow green paint under 632.8 μm laser detection condition which is closer to true leaves. Its ap- plication to the surface of camouflage target can effectively reduce the laser detection probability.
出处
《解放军理工大学学报(自然科学版)》
EI
北大核心
2017年第3期302-306,共5页
Journal of PLA University of Science and Technology(Natural Science Edition)
关键词
伪装涂料
偏振伪装
粗糙表面
穆勒矩阵
退偏振系数
camouflage paint
polarization camouflage
rough surface
Muller matrix
depolarization degree