基于合成孔径雷达图像的伪装遮障目标特性建模技术

Modeling Technology of Camouflage Screen Target Characteristics Based on SAR Images

针对高分辨率全极化合成孔径雷达(SAR)侦察条件下,伪装目标特性模型存在空白的问题,通过SAR图像特征参数的选取,建立特征向量。设置实验获取SAR图像,在此基础上,引入象限坐标系和变异系数分析不同极化方式下伪装遮障目标特征参数变化规律,构建极化方式与特征参数的数值变化及稳定性关系,实现伪装遮障目标特性模型的定性描述。研究结果表明,使用特征向量能够有效表征不同目标,建立的模型能够用于分析、预测伪装遮障目标的特性,为伪装目标检测与伪装效果评估等应用奠定了基础。

A camouflage target characteristic model is lack for the threat of high resolution polarimetric synthetic aperture radar（ SAR）. The characteristic parameters of SAR images are chosen to set up the feature vectors. On this basis,the quadrant coordinate system and the coefficient of variation are used to analyze the regular pattern between polarization mode and characteristic parameter,establish the relations of parameter value and stability,and implement the qualitative description of camouflage screen target characteristic model. The research results show that the feature vectors can characterize different targets.The proposed model can be used to analyze and predict the characteristics of camouflage screen target,which lays a foundation for camouflage target detection and camouflage effectiveness evaluation.