共查询到18条相似文献,搜索用时 62 毫秒
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剪切光束成像是一种非传统地基光学成像技术,在对位姿快速变化的目标成像时,为重构目标高分辨率清晰图像,其成像系统的回波数据采样速率仍不够快.本文提出一种五光束快速采样的图像重构方法,通过改变成像系统编码和解码方法,采用中心对称结构呈“十”字形排布的发射光束阵型,利用所提的快速图像重构算法,单次采样的回波数据所能重构的目标图像从1幅增加到8幅,快速抑制了重构图像的散斑效应.仿真结果表明,与传统三光束图像重构方法相比,获得相同质量图像所需的回波数据采样次数从20次减少至5次,大幅减少了回波数据采样次数,提高了回波数据采样速率. 相似文献
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剪切光束成像技术是一种能透过大气湍流对远距离目标实现高分辨率成像的主动成像技术.现有相关研究中所采用的目标均为二维平面目标,然而现实中的目标一般都具有三维形貌,目标纵深对回波信号产生的延迟或对成像质量产生不利影响.从剪切光束成像理论出发,在二维目标成像模型的基础上建立了三维纵深目标成像模型,并利用该模型研究了两剪切光与参考光间的频差及目标纵深对成像的影响.仿真结果表明,随着拍频的增大,重构图像质量逐渐下降.剪切光束成像技术可通过减小拍频来提高真实目标成像质量. 相似文献
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理论上研究分析了相干高斯光束的符合成像和干涉.导出了相干高斯光束的符合成像公式和符合干涉条纹公式,从这些公式可以看出符合成像和干涉是由于两条光路相应的汇聚投射引起的.符合成像和干涉条纹的质量及能见度可以同时很好.我们的结果表明纠缠光子对和相干高斯光束的符合成像及干涉的物理本质是不同的,相干高斯光束的符合成像和干涉的物理本质是光强的点对点投射,而纠缠光子对的符合成像和干涉的物理本质是双光子的振幅关联. 相似文献
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分析了激光相干合成装置及其光路调整要求,提出利用剪切干涉检测合成光路中子光束一致性的方法。分析剪切干涉原理,建立了剪切板干涉物理模型,以相干合成中两路矩形光束拼接组束为例,数值模拟并研究了子光束的整体倾斜、离焦所对应的剪切干涉条纹,得到了条纹图像与子光束光轴误差、离焦误差之间的对应关系,用于相干合成光路中子光束光轴和发散角误差的判断。光轴倾斜大于5 rad时,可以直接观察互干涉和自干涉条纹变化,发散角在大于10 rad时,干涉条纹变化明显。此外,剪切干涉的自干涉条纹平移可用来检测子光束间的活塞误差,可作为光束拼接相干合成中闭环相位检测和控制的手段。 相似文献
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分析了激光相干合成装置及其光路调整要求,提出利用剪切干涉检测合成光路中子光束一致性的方法。分析剪切干涉原理,建立了剪切板干涉物理模型,以相干合成中两路矩形光束拼接组束为例,数值模拟并研究了子光束的整体倾斜、离焦所对应的剪切干涉条纹,得到了条纹图像与子光束光轴误差、离焦误差之间的对应关系,用于相干合成光路中子光束光轴和发散角误差的判断。光轴倾斜大于5μrad时,可以直接观察互干涉和自干涉条纹变化,发散角在大于10μrad时,干涉条纹变化明显。此外,剪切干涉的自干涉条纹平移可用来检测子光束间的活塞误差,可作为光束拼接相干合成中闭环相位检测和控制的手段。 相似文献
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多光束激光相干成像技术是地基观测空间目标的重要方式,各光束的稳定性和性能一致性直接决定着系统成像质量,目前针对系统频率稳定性对成像质量的影响以及激光源频漂的补偿已有一定研究,然而针对多光束发射系统,由驱动放大噪声及声光移频噪声引起的各光束间独立的频漂还需进一步抑制.基于此,本文提出了动态解调和置信区间解调两种抑制方法,理论仿真了动态解调对缓慢频漂抑制的可行性,同时实验证明了置信区间解调法对成像效果的提升,并在200 m和1.2 km的湍流环境中对该解调方法进行了验证.研究表明,置信区间解调法对于各拍频间独立漂移有较好的实时补偿效果,能够有效抑制发射阵列中由声光调制及驱动放大引入的频率噪声,对水平距离1.2 km外的25 mm目标成像角分辨率达到4μrad.本研究为未来远程大功率发射阵列成像中的频率噪声抑制提供了较好的技术方案. 相似文献
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提出了一种多子光束相干发射方案以提高对远距离小目标的探测能力.将激光器发出的光束等功率地分为若干子光束,在空间按一定的排列平行发射.子光束来自同一激光源,具有很好的相干性,将在目标面上产生干涉.计算结果表明:子光束在目标面上产生干涉主峰,理想情况下,其峰值为单光束直接发射光强的N(N为子光束数目)倍,用此主峰照射目标实现探测;目标越小,此方案相对于直接发射的优势越突出.实际中应适当压缩光束发散角,以增大照射到目标上的总功率.发射镜的位置和角度抖动使目标面上光强闪烁且光斑畸变,为获得稳定、且峰值为单光束直接发射光强N倍的干涉主峰,发射镜的位移控制精度需达到0.1λ(λ为光波长),角度控制精度需达到0.2θ(θ为光束发散角). 相似文献
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Return signal processing and reconstruction plays a pivotal role in coherent field imaging, having a significant influence on the quality of the reconstructed image. To reduce the required samples and accelerate the sampling process,we propose a genuine sparse reconstruction scheme based on compressed sensing theory. By analyzing the sparsity of the received signal in the Fourier spectrum domain, we accomplish an effective random projection and then reconstruct the return signal from as little as 10% of traditional samples, finally acquiring the target image precisely. The results of the numerical simulations and practical experiments verify the correctness of the proposed method, providing an efficient processing approach for imaging fast-moving targets in the future. 相似文献
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利用相干X射线衍射成像“过采样”采集样品的远场相干衍射图样, 结合相位重建迭代算法重建物空间样品信息. 三维重建过程中, 边界约束条件是相位重建算法中最为关键的部分. 本文采用数字模拟的方法, 利用灰度值图像作为物空间的样品, 研究并实现了边界条件的自动寻找, 重建结果显示比以往采用较“松”的边界约束更为精确. 利用噪声模拟方法, 研究了衍射图样中不同噪声类型的滤除对重建结果的影响. 研究发现传统的去噪方法在高噪声情况下不能直接应用于相干X射线衍射成像, 并找到了适用于相干X射线衍射成像噪声滤除的有效方法. 研究表明, 此方法能非常有效地降低噪声对重建结果的影响. 利用模拟三维纳米金颗粒作为样品, 完成了对纳米金颗粒中电子密度分布的三维重建, 在有随机噪声的影响下, 也得到了很好的重建结果, 并找到了成功实现三维重建的噪声限为信噪比不低于27.
关键词:
X射线相干衍射成像
过采样
三维相位重建
显微成像 相似文献
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A general phase retrieval algorithm based on ptychographicaliterative engine for coherent diffractive imaging
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Coherent diffractive imaging (CDI) is a lensless imaging technique and can achieve a resolution beyond the Rayleigh or Abbe limit. The ptychographical iterative engine (PIE) is a CDI phase retrieval algorithm that uses multiple diffraction patterns obtained through the scan of a localized illumination on the specimen, which has been demonstrated successfully at optical and X-ray wavelengths. In this paper, a general PIE algorithm (gPIE) is presented and demonstrated with an He-Ne laser light diffraction dataset. This algorithm not only permits the removal of the accurate model of the illumination function in PIE, but also provides improved convergence speed and retrieval quality. 相似文献
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本文描述一台演示性连续波CO_2相干激光成像系统,报道了单、双点源目标的相干成像实验结果,并对影响成像质量的一些因素进行了讨论.该系统稍加改进即可用于速度与三维距离成像. 相似文献
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A general phase retrieval algorithm based on a ptychographical iterative engine for coherent diffractive imaging
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Coherent diffractive imaging (CDI) is a lensless imaging technique and can achieve a resolution beyond the Rayleigh or Abbe limit. The ptychographical iterative engine (PIE) is a CDI phase retrieval algorithm that uses multiple diffraction patterns obtained through the scan of a localized illumination on the specimen, which has been demonstrated successfully at optical and X-ray wavelengths. In this paper, a general PIE algorithm (gPIE) is presented and demonstrated with an He-Ne laser light diffraction dataset. This algorithm not only permits the removal of the accurate model of the illumination function in PIE, but also provides improved convergence speed and retrieval quality. 相似文献
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An ART iterative reconstruction algorithm for computed tomography of diffraction enhanced imaging 总被引:3,自引:0,他引:3
X-ray diffraction enhanced imaging (DEI) has extremely high sensitivity for weakly absorbing low- Z samples in medical and biological fields. In this paper, we propose an Algebra Reconstruction Technique (ART) iterative reconstruction algorithm for computed tomography of diffraction enhanced imaging (DEI-CT). An Ordered Subsets (OS) technique is used to accelerate the ART reconstruction. Few-view reconstruction is also studied, and a partial differential equation (PDE) type filter which has the ability of edge-preserving and denoising is used to improve the image quality and eliminate the artifacts. The proposed algorithm is validated with both the numerical simulations and the experiment at the Beijing synchrotron radiation facility (BSRF). 相似文献
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WANG Zhen-Tian ZHANG Li HUANG Zhi-Feng KANG Ke-Jun CHEN Zhi-Qiang FANG Qiao-Guang ZHU Pei-Ping 《中国物理C(英文版)》2009,33(11):975-980
X-ray diffraction enhanced imaging (DEI) has extremely high sensitivity for weakly absorbing low-Z samples in medical and biological fields. In this paper, we propose an Algebra Reconstruction Technique (ART) iterative reconstruction algorithm for computed tomography of diffraction enhanced imaging (DEI-CT). An Ordered Subsets (OS) technique is used to accelerate the ART reconstruction. Few-view reconstruction is also studied, and a partial differential equation (PDE) type filter which has the ability of edge-preserving and denoising is used to improve the image quality and eliminate the artifacts. The proposed algorithm is validated with both the numerical simulations and the experiment at the Beijing synchrotron radiation facility (BSRF). 相似文献