四光束剪切相干成像目标重构算法研究

发布时间：2018-06-04 10:52

本文选题：剪切相干成像 + 四光束　；参考：《物理学报》2017年11期

【摘要】：针对传统剪切光束成像技术的准实时性问题,提出用口字形排布的四束光代替传统L形三束剪切光照射目标,研究了四光束剪切相干成像目标重构算法.只需单次测量就能同时重构出四幅目标图像,减少了用于降低散斑噪声、获取高质量图像所需的测量次数,同时大大减少了多组发射时的光束切换次数,提高了成像效率.在算法实现中,通过最小二乘法恢复出四组波前相位,利用散斑幅值的简单代数运算恢复波前幅值,从而重构出目标图像.仿真结果表明,与传统方法相比,在图像质量相同的前提下,本文方法所需的数据采集时间减少了至少1/2,不但提高了目标重构效率,还可为远程运动目标的成像识别提供更好的手段.
[Abstract]:Aiming at the quasi-real-time problem of traditional shearing beam imaging technology, a new reconstruction algorithm of four-beam shearing coherent imaging target is proposed, in which four beams of zigzag beam instead of L-shaped three beams of shearing light are used to irradiate the target. Only one measurement can reconstruct four target images at the same time, which reduces the number of measurements needed to reduce speckle noise and obtain high quality images. At the same time, it greatly reduces the number of beam switching and improves the imaging efficiency. In the implementation of the algorithm, four groups of wavefront phase are recovered by least square method, and the wavefront amplitude is recovered by simple algebraic operation of speckle amplitude, and the target image is reconstructed. Simulation results show that under the same image quality, the data acquisition time of this method is reduced by at least 1 / 2, which not only improves the efficiency of target reconstruction, but also improves the efficiency of target reconstruction. It can also provide a better method for image recognition of long range moving targets.
【作者单位】：中国科学院西安光学精密机械研究所;中国科学院大学;北京跟踪与通信技术研究所;
【分类号】：O439

【相似文献】