类似虹膜轮廓曲线分割的SAR雷达成像技术

SAR Radar Imaging Technology Similar to Iris Contour Curve Segmentation

合成孔径雷达(SAR)成像是跟踪探测机动目标的基础,传统的SAR雷达成像基础采用数据融合和图像配准的雷达成像方案,在获得具有相似测度的边缘轮廓特征时成像效果较好,当运动目标边缘为断裂的非相似度特征时,无法准确对快速运动目标成像.引入虹膜边缘轮廓曲线分割技术,提出一种基于虹膜边缘函数计算和区域灰度轮廓曲线分割的SAR雷达成像技术.构建合成孔径雷达回波模型,得到虹膜轮廓曲线分割的边缘函数的演化方程,实现SAR雷达准确成像.对4类高速飞行目标进行SAR成像仿真,结果表明采用该算法能避免因距离色散和多普勒时变出现的成像散焦,边缘轮廓特征能全面提取,成像分辨高.在雷达目标识别等领域具有较好的应用性.

Synthetic Aperture Radar(SAR)imaging is the basis for tracking maneuvering target,the traditional radar imaging schemes are established based data fusion and image registration,when the non similarity characteristics of moving targets have fracture edge,the SAR imaging performance is bad for the fast moving target.The iris edge contour segmentation technique is introduced,a kind of SAR radar imaging method is proposed based on iris edge function calculation and region segmentation of gray level profile curve.The model of synthetic aperture radar echo is constructed,evolution equation of edge function of iris contour segmentation is obtained,and accurate SAR radar imaging is obtained.SAR imaging simulation is taken with 4kinds of high-speed flight targets,the results show that the algorithm can avoid imaging defocusing resulted from the distance dispersion and Doppler time deviation,edge feature can be extracted comprehensively,imaging resolution is high.It has better application value in the field of radar target recognition.