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理论分析了激光瞄准系统中视轴误差与目标照明回光的关系. 介绍了同时具备激光束发射与瞄准偏差校正功能的自适应光学器件––自适应光纤准直器的原理. 搭建了光束经200 m水平大气传输的激光瞄准实验平台. 基于二维目标和三维目标的照明回光, 利用随机并行梯度下降算法分别实现了不同初始视轴误差下的瞄准闭环校正. 实验结果表明, 闭环后二维目标和三维目标的视轴校正残差评价参数分别小于6%和10.8%, 校正精度均在理论范围内. 最后, 分析了算法参数对动目标瞄准的影响. 相似文献
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为了提高成像系统的分辨能力, 并尽量减小系统的复杂度, 本文将相位差波前探测技术和相位差图像恢复技术结合起来构成相位差混合处理方法, 给出了点目标和扩展目标情况下混合处理方法的数值仿真结果, 并针对点目标情况进行了实验验证. 实验表明, 在像差较大的情况下, 直接用事后处理方法无法得到满意的结果. 在三种湍流强度下, 经混合方法处理后得到光斑的半高宽分别由自适应光学系统校正后的5.1, 5.1和5.0个像素减小到3.3, 3.2和3.0个像素. 可以看出, 利用相位差混合处理方法得到的图像明显优于单独的事后图像处理方法和自适应光学校正, 相位差混合处理方法在高分辨力成像领域有着巨大的应用潜力. 相似文献
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基于线性相位反演技术的自适应光学闭环实验研究 总被引:1,自引:1,他引:0
利用成像光学系统、变形镜、装有图像采集卡和D/A卡的PC机等建立了一套基于线性相位反演技术的自适应光学闭环实验系统.在Windows操作系统下用VC完成图像处理和控制算法.利用一台高测量精度的哈特曼传感器测量波前信息并评价自适应光学系统的校正效果.在不同像差大小状态下研究了这种基于线性相位反演技术的自适应光学系统的像差校正能力.收敛速度,稳定性等.实验结果表明,基于线性相位反演技术的自适应光学系统对静态小像差有较好的校正效果. 相似文献
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在天文高分辨成像领域,自适应光学校正和事后图像复原都必不可少,但传统的自适应光学系统控制方法以提升光学成像质量为目的,并未考虑图像复原环节,因此,研究一种结合两者以获得高质量复原图像为目标的控制方法具有重要意义.本文对传统自适应光学技术结合事后图像解卷积的方法进行了分析,阐述了其存在的缺陷.首次提出了将自适应光学技术和图像复原技术相结合进行系统分析的思想,并提出了变形镜校正度(变形镜控制电压相对于传统方法控制电压的缩放比例)的概念,通过改变校正度可实现变形镜校正残差和波前传感器探测误差的调整,同时证明了复原图像质量在校正度下降的方向存在一个最优值,用最优校正度来修正变形镜控制电压,就得到了一种新的控制方法.针对点源目标成像,仿真表明该方法相比于传统方法,能够得到质量更好的复原图像. 相似文献
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用于人眼视网膜成像照明的激光消散斑技术研究 总被引:6,自引:2,他引:4
以近红外激光(808 nm)作为人眼波前像差探测的信号光和视网膜成像的照明光,液晶空间光调制器(LCOS)作为波前校正器,用哈特曼波前探测器探测人眼像差,构建了人眼像差自适应校正的视网膜成像系统.利用模拟眼分析了激光散斑对相机成像的影响和对哈特曼波前探测器进行像差探测的影响,同时验证了利用旋转散射体的方法消除激光散斑的可行性和有效性;用活体人眼进行了激光消散斑前后照明视网膜进行成像的对比实验,并进一步利用自适应光学技术实现了对人眼像差的动态校正和视网膜细胞的连续成像.校正后,系统波前像差的均方根值小于0.1λ.实验表明激光消散斑后可以同时作为人眼像差探测的信号光和视网膜成像的照明光,从而可以进行连续自适应校正和成像. 相似文献
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自适应光学系统校正后实际分辨率评价指标 总被引:1,自引:0,他引:1
为了评价地基大口径望远镜对空间目标自适应光学系统校正后的实际分辨率,提出了可分辨单元数比指标。结合1.23 m自适应光学望远镜的观测数据,对可分辨单元数比的物理意义、适用范围、误差影响因素以及大气弥散的影响进行了分析。结果表明:可分辨单元数比能全面反映望远镜系统对空间目标自适应校正后的实际分辨率,且物理意义更直观;适用于所有可获取波前特征的望远镜自适应校正后实际分辨率的评估;其误差主要依赖于波前探测器的测量误差;大气弥散对其影响可忽略。 相似文献
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A method to predict the amount of noise reduction which can be achieved using a two-microphone adaptive beamforming noise reduction system for hearing aids [J. Acoust. Soc. Am. 109, 1123 (2001)] is verified experimentally. 34 experiments are performed in real environments and 58 in simulated environments and the results are compared to the predictions. In all experiments, one noise source and one target signal source are present. Starting from a setting in a moderately reverberant room (reverberation time 0.42 s, volume 34 m3, distance between listener and either sound source 1 m, length of the adaptive filter 25 ms), eight different parameters of the acoustical environment and three different design parameters of the adaptive beamformer were systematically varied. For those experiments, in which the direct-to-reverberant ratios of the noise signal is +3 dB or less, the difference between the predicted and the measured improvement in signal-to-noise ratio (SNR) is -0.21+/-0.59 dB for real environments and -0.25+/-0.51 dB for simulated environments (average +/- standard deviation). At higher direct-to-reverberant ratios, SNR improvement is systematically underestimated by up to 5.34 dB. The parameters with the greatest influence on the performance of the adaptive beamformer have been found to be the direct-to-reverberant ratio of the noise source, the reverberation time of the acoustic environment, and the length of the adaptive filter. 相似文献
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Tao X Fernandez B Azucena O Fu M Garcia D Zuo Y Chen DC Kubby J 《Optics letters》2011,36(7):1062-1064
Optical aberrations due to the inhomogeneous refractive index of tissue degrade the resolution and brightness of images in deep-tissue imaging. We introduce a confocal fluorescence microscope with adaptive optics, which can correct aberrations based on direct wavefront measurements using a Shack-Hartmann wavefront sensor with a fluorescent bead used as a point source reference beacon. The results show a 4.3× improvement in the Strehl ratio and a 240% improvement in the signal intensity for fixed mouse tissues at depths of up to 100 μm. 相似文献
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Application of adaptive matched field processing to the problem of detecting quiet targets in shallow water is complicated by source motion, both the motion of the target and the motion of discrete interferers. Target motion causes spreading of the target peak, thereby reducing output signal power. Interferer motion increases the dimensionality of the interference subspace, reducing adaptive interference suppression. This paper presents three techniques that mitigate source motion problems in adaptive matched field processing. The first involves rank reduction, which enables adaptive weight computation over short observation intervals where motion effects are less pronounced. The other two techniques specifically compensate for source motion. Explicit target motion compensation reduces target motion mismatch by focusing snapshots according to a target velocity hypothesis. And time-varying interference filtering places time-varying nulls on moving interferers not otherwise suppressed by adaptive weights. The three techniques are applied to volumetric array data from the Santa Barbara Channel Experiment and are shown to improve output signal-to-background-plus-noise ratio by more than 3 dB over the standard minimum-variance, distortionless response adaptive beam-former. Application of the techniques in some cases proves to be the difference between detecting and not detecting the target. 相似文献
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Ying Lv Bofeng Zhang Guobing Zou Xiaodong Yue Zhikang Xu Haiyan Li 《Entropy (Basel, Switzerland)》2022,24(7)
Domain adaptation aims to learn a classifier for a target domain task by using related labeled data from the source domain. Because source domain data and target domain task may be mismatched, there is an uncertainty of source domain data with respect to the target domain task. Ignoring the uncertainty may lead to models with unreliable and suboptimal classification results for the target domain task. However, most previous works focus on reducing the gap in data distribution between the source and target domains. They do not consider the uncertainty of source domain data about the target domain task and cannot apply the uncertainty to learn an adaptive classifier. Aimed at this problem, we revisit the domain adaptation from source domain data uncertainty based on evidence theory and thereby devise an adaptive classifier with the uncertainty measure. Based on evidence theory, we first design an evidence net to estimate the uncertainty of source domain data about the target domain task. Second, we design a general loss function with the uncertainty measure for the adaptive classifier and extend the loss function to support vector machine. Finally, numerical experiments on simulation datasets and real-world applications are given to comprehensively demonstrate the effectiveness of the adaptive classifier with the uncertainty measure. 相似文献
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We propose a novel and practical method to exactly measure the transient reflectance spectra (TRS) of the adaptive filters based on dynamic population gratings. The modulating signals applied to the laser source play an important role. We specially designed a train of triangular amplitude modulated pulses with a small duty to modulate the laser frequency, and then the TRS was obtained from the grating responses to this pulse train. The measured half-zero-point bandwidths of the filter with and without 2.6 m cavity length are 20 and 60 MHz, respectively. Our research also indicates that the relatively high input power and a short cavity length may enhance the antiperturbation ability of lasers. 相似文献
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J.-F. Daigle Y. Kamali M. Chateauneuf G. Tremblay F. Théberge J. Dubois G. Roy S. L. Chin 《Applied physics. B, Lasers and optics》2009,97(3):701-713
A method involving a closed loop adaptive optic system is investigated as a tool to significantly enhance the collected optical
emissions, for remote sensing applications involving ultrafast laser filamentation. The technique combines beam expansion
and geometrical focusing, assisted by an adaptive optics system to correct the wavefront aberrations. Targets, such as a gaseous
mixture of air and hydrocarbons, solid lead and airborne clouds of contaminated aqueous aerosols, were remotely probed with
filaments generated at distances up to 118 m after the focusing beam expander. The integrated backscattered signals collected
by the detection system (15–28 m from the filaments) were increased up to a factor of 7, for atmospheric N2 and solid lead, when the wavefronts were corrected by the adaptive optic system. Moreover, an extrapolation based on a simplified
version of the LIDAR equation showed that the adaptive optic system improved the detection distance for N2 molecular fluorescence, from 45 m for uncorrected wavefronts to 125 m for corrected. 相似文献
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600mm望远镜液晶自适应系统成像光路设计 总被引:4,自引:1,他引:3
为了与600 mm望远镜匹配以验证液晶自适应光学的有效性,利用Zemax光学设计软件进行了液晶自适应光学系统的设计和优化.根据望远镜的参量、大气湍流的特性和液晶的特点提出设计要求,然后进行光学系统设计和Zemax软件模拟优化,设计出了满足要求的系统.对该光学系统进行性能评价.设计出的系统与望远镜的组合焦距为35 m, F数为58.求得光学系统在像面处的极限线分辨力为44.8 μm,成像CCD的像元尺寸为16 μm,满足采样定理.液晶自适应光学系统的调制传递函数与衍射极限传递函数非常接近,而且系统的光程差像差在0.1λ左右,说明系统具备优良的光学性能. 相似文献
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Adaptive finite element method (AFEM) is broadly adopted to recover the internal source in biological tissues. In this letter, a novel dual-mesh alternation strategy (dual-mesh AFEM) is developed for biolumi- nescence tomography. By comprehensively considering the error estimation of the finite element method solution on each mesh, two different adaptive strategies based on the error indicator of the reconstructed source and the photon flux density are used alternately in the process. Combined with the constantly adjusted permissible region in the adaptive process, the new algorithm can achieve a more accurate source location compared with the AFEM in the previous experiments. 相似文献