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为了实现定距离、较大视场范围某低速点的快速方位角及高程测量要求,采用点型光源、伽利略望远镜与柱面镜组合式长焦光学系统及双正交线阵CCD,搭建了一种复合柱面镜长焦光学测量系统.该组合式长焦光学系统无一次成像面,系统光学长度短,系统前组为伽利略型望远镜型式,接近无焦.在一定测量范围内,选择合适的前组角放大倍率和前组口径等参量,使得在不同位置的点所成线像均与双线阵CCD正交.有针对性地优化光学系统设计、选择合适的系统评价函数并对系统装调及测量原理进行准确度分析.结果表明,该系统在测量距离为10m,视场范围1.5°×1.5°内时,方位角测量误差在±2.5″以内,且系统长度较短,公差较宽松.该系统解决了光源合作目标尺寸严格受限的问题,探测器尺寸较大且成本较低. 相似文献
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设计出一种非接触式高速运动物体速度测量系统,在CCD单帧曝光时间内利用闪光灯对飞行中的物体进行两次闪光照明,CCD对两个不同位置的飞行物体成像,设定两个光脉冲之间的时间间隔以及测量出两个物体像之间的距离即可算出其飞行速度.该系统能够进行实时测量,突破了空间单点测量技术的局限,可在同一幅图像上记录下不同时刻多个空间点目标的图像信息,以及同一时刻不同空间点目标的图像信息,从而可以获得目标运动的瞬时速度. 相似文献
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昆虫(螳螂)复眼利用目标的动态差异实现立体视觉,具有视场大、计算简单、实时性高等特点,是立体视觉研究的新方向。为实现复眼立体视觉在机器人视觉导航中的应用,根据复眼结构以及信息处理机制,提出并研究了环形光电传感器的目标快速检测与定位方法。首先,搭建了基于60个光电二极管的等6°夹角分布式环形传感器,形成具有360°视场的环形仿生复眼;其次,建立了基于光流原理的运动目标方位角检测模型,采用傅里叶拟合法实现了方位角检测模型的优化,实现了运动目标方位角与目标距离大视野范围内的简单、快速检测。实验结果表明:1)可实现距离375 mm范围内运动速度为30 mm/s的目标方位角实时检测,测量误差在2°范围内;2)基于目标方位角检测模型,可实现双目阵列传感器在300 mm×375 mm视野重叠区域范围内、平均测量误差在10 mm范围内的立体视觉测距。基于光流的运动目标方位角检测模型可用于实现对运动目标空间位置的动态实时检测,在运动检测、视觉导航等领域具有广泛的应用前景。 相似文献
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针对飞行试验测量视场大相机标定精度低的问题,提出一种高精度CCD相机分区域标定方法。该方法首先通过将标靶均匀布置在摄像机视场内,使得标靶尽可能均匀错落地充满整个视场范围,再结合人眼判读的方式求解靶标的像面位置,最终与全站仪三维坐标形成精确的空间标定点集。接着,将像平面按横向方向等间距分割成N个区域,并结合后方交会的方法分别对每个子区域进行相机参数的计算。实验结果表明:经过分区域标定,相机采集点的总误差比单区域标定法降低了4%(N=3)。算法可实现指定区域的相机参数计算,基本满足中高等精度的工业测量要求。所本文研究可应用于位置相对固定不变的工业视觉测量,特别是大工件测量领域。 相似文献
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目标辐射噪声中高强度稳定线谱可以用来提高常规宽带能量积分的检测性能。理论分析了已知线谱检测优于宽带能量积分检测的谱级比条件。给出了线谱频带可检测条件下,线谱谱级与最小可检测信噪比关系。分析分频带空间谱和波束域的输出直流跳变与起伏比值特征。在此基础上提出了一种构造频率、方位滤波矩阵的方法。该矩阵作用类似频带方位滤波器,通过对线谱频带目标方位的信号放大,与其他频带判决结果融合,来提高常规宽带能量积分的性能。最后给出该算法适用条件和性能分析。数据仿真和海试数据处理结果可知,该算法在多干扰源存在下对弱线谱目标提取能力强,且不需多帧统计,在检测效果上更接近于理想的窄带线谱检测方法。 相似文献
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《声学学报:英文版》2015,(3)
The low frequency line components of the radiated noise from an underwater target usually have both high spectrum level and sustained stability.This feature could be used to increase the detection performance of conventional broadband energy integration method.The required spectrum level is theoretically discussed when the detection performance of the known line detection is better than that of broadband energy integration method.Under the condition of the target can be detected in line spectrum band,the relationship between the line spectrum level and signal to noise ratio(SNR)is also discussed.This paper proposes a line spectrum target detection method that a matrix using DC jump to fluctuations ratios of sub-band spatial spectrum and beam space output is constructed.This matrix acts as a filter that the line spectrum target with certain frequency and azimuth is passed at most.By fusing with the other sub band results,the conventional detection performance can be improved.At the same time,the applicable condition and detection performance are analyzed in the paper.The simulation and the sea trial data processing results show that the algorithm can effectively extract weak goal line spectrum target under the condition of multi-interference.The algorithm doesn't need multi-frame statistics and the detection performance is closer to the optimal line spectrum method. 相似文献
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Q. Md. Alfred T. Chakravarty G. Singh S. K. Sanyal 《International Journal of Infrared and Millimeter Waves》2007,28(10):881-887
In radar, planar phased array antenna plays vital role in electronic scanning in the azimuth and elevation direction to the
horizon. In most operations using planar phased array both the coordinates of azimuth and elevation, are steered electronically.
In this paper a conceptual schematic of a phased array antenna with programmable time delay units has been presented. It is
shown that by suitably exploiting the time delay matrix one can have electronic beam rotation around the target axis as required
in conical scan. Thus both the elevation and azimuth motors in conical scan system are replaced by electronic scanning. Heuristically,
we have selected eight consecutive points for beam rotation in a polygon shape and can also be extended almost circular shape
by increasing number of array elements and phase shifter (delays) in the delay matrix. The array requires dual control of
phase gradient and individual phase values. The whole array is controlled by micro-controller. This presents exciting possibilities
in radar operation. 相似文献
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现有方法常将相机从下至上拍摄标记物图像,当桨叶扭转幅度较大时,相机主光轴与标记物平面法向量存在明显夹角,导致拍摄图像存在透视畸变现象,从而引发较大测量误差。为解决上述问题,提出一种基于透视变换的直升机桨根扭转角测量方法。首先,将靶标垂直固定在桨叶下方,相机正对桨毂拍摄图像。其次,计算桨叶在低速拉平状态下待测方位与正方位靶标图像中的四个顶点坐标,并求解待测方位的透视变换矩阵,然后利用透视变换矩阵对桨叶高速运动状态下待测方位拍摄的畸变图像进行校正。最后,求得基准图像与校正后图像中的圆心坐标,进而计算出待测方位扭转角。实验结果表明,各方位测量误差均小于0.2°。该方法不但测量精度高,而且具有多方位动态测量的优点,在直升机旋翼桨叶运动参数测量领域具有良好的应用前景。 相似文献
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高阶累积量具有高斯噪声抑制和阵元扩展特性,将高阶累积量引入水声信号的方位估计中,提出了离格稀疏贝叶斯学习重构的高阶累积量测向算法。该方法利用高阶累积量对高斯噪声的自然盲性,计算阵列信号四阶累积量来滤除高斯噪声,使阵元在原来的结构上扩展了一倍;并构造出选择矩阵剔除了四阶累积量中的冗余项,能再一次的扩展阵元,得到的新观测模型具有更好的统计性能;最后利用空域稀疏性,推导出四阶累积量下的离格稀疏表示模型,采用贝叶斯学习解算出源信号的最大后验概率,实现了目标方位估计。数值仿真和海试实验数据表明,该方法在相邻声源方位间隔为4°的情况下分辨概率可达到95%以上,在信噪比大于-5 dB时目标方位估计的均方根误差在1°以内,可显著抑制背景噪声干扰,在多声源密集分布条件下也能准确、稳健的对水声目标方位进行估计。 相似文献
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《Infrared Physics & Technology》2000,41(1):11-19
In order to determine the Bi-directional Reflectance Distribution Function (BRDF) of natural surfaces a CCD line camera is used. This allows measurements under natural conditions with a high azimuth and zenith angular resolution in a short time. The CCD line spans a field of view of 80° as the zenith angle range. For covering the azimuth range, the camera is mounted on a rotating device and an extendible boom provides an aerial platform. This set up allows the measurement of the [almost] complete reflectance distribution of the surface below the camera for the 30-s rotation period of the camera. The camera used for this set up is the wide angle airborne camera (WAAC), which was developed at the DLR for airborne stereo imaging purposes. This paper presents the radiometric calibration of the system and shows the initial results of our approach in measuring the BRDF with high angular resolution for a short period. 相似文献
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CCD细分技术方法研究及应用 总被引:19,自引:3,他引:16
依据线阵CCD和面阵CCD细分技术的原理,提出了九点四线曲面拟合的面阵CCD细分方法,并通过与均值法对比以及在图像放大和图像定位中的实际应用,证明了该方法不仅计算简便、图像相关度高、边缘趋势保持较好,而且可大大提高图像的分辨率和目标图像的定位精度。 相似文献
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Novel calibration method for non-overlapping multiple vision sensors based on 1D target 总被引:1,自引:0,他引:1
The global calibration of multiple vision sensors (MVS) with non-overlapping views has been widely studied. In this paper, a novel calibration method for MVS with non-overlapping fields of view based on 1D target is presented. First, two neighboring vision sensors are selected. The rotation matrix between the two vision sensors is computed using the co-linearity property of the feature points on 1D target. Then the translation vector is computed according to the known distances between feature points on 1D target. The global calibration of all vision sensors is realized by repeating the above pair-wise calibration on different pairs of vision sensors. Due to the small volume and mobility of 1D target, the proposed global calibration method can be applied to vision sensors distributed in a large area or narrow space. Experiment results show that the RMS error of global calibration is within 0.060 mm. 相似文献