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Undersampled focal plane detection of imagery from a sparse telescope array.

机译:来自稀疏望远镜阵列的图像欠采样焦平面检测。

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摘要

For sparsely distributed arrays of optical telescopes operating in phase, large regions of complete attenuation in the modulation transfer function (MTF) result from the spaces between telescopes. These 'holes' in the MTF can be used to advantage to avoid aliasing of high spatial frequency components when the resultant optical image is undersampled by a detector array. The technique for isolating and removing the harmonic components of the sampled image spectrum from the undersampled image has been labeled 'dealiasing'. The result of undersampling the image plane is a reduction in the number of detectors required to image a particular scene by nearly a factor of four.; The appropriate conditions for recovering a non-aliased image from the undersampled image focal plane are set by two parameters; the configuration of the pupil, and the detector array sampling rate. The two parameters are coupled, so that the selection of one constrains the allowed values of the other. Errors may be introduced by incorrectly scaling the pupil function to the detector array. Increasing the size of the individual subapertures in the telescope array beyond a prescribed limit also introduces errors that significantly degrade the dealiased result. The latter error is partially mitigated by the associated increase in object information transferred into the image.; In this study, an algorithm is formulated to implement the dealiasing technique. The algorithm is demonstrated on point and extended objects using both an image simulation environment and a laboratory breadboard. The robustness of the algorithm to sources of error and the introduction of noise are measured. Quantitative metrics and visual assessment of image quality are used to evaluate the results. The CLEAN algorithm, a method to interpolate between the peaks of the image spectrum of the sparse telescope array is implemented. This enhancement to image quality is useful when demonstrating the concept on detailed, high resolution objects.; Finally, a concept for enhancing the image quality of a sparse telescope array is presented. The technique combines imagery of two wavelengths, co-focal on the detector array. One image is of high resolution, undersampled, and dealiased. The second image is Nyquist-sampled but of low resolution. This technique significantly improves on the quality of sparse array imagery obtained at a single wavelength.
机译:对于同相工作的稀疏分布的光学望远镜阵列,由于望远镜之间的空间,导致调制传递函数(MTF)完全衰减的大区域。 MTF中的这些“孔”可以用来避免在检测器阵列对最终的光学图像进行欠采样时避免出现高空间频率分量的混叠现象。从欠采样图像中分离和去除采样图像频谱的谐波分量的技术已被标记为“去混叠”。图像平面欠采样的结果是使特定场景成像所需的检测器数量减少了近四倍。从欠采样图像焦平面恢复非锯齿图像的合适条件由两个参数设置;光瞳的配置以及探测器阵列的采样率。这两个参数是耦合的,因此一个参数的选择会约束另一个参数的允许值。错误地将光瞳功能缩放到检测器阵列可能会引入错误。将望远镜阵列中各个子光圈的大小增加到超过规定的限制也会引入误差,这些误差会大大降低脱影的结果。后一种错误通过转移到图像中的对象信息的相关增加而得到部分缓解。在这项研究中,制定了一种算法来实现脱碳技术。使用图像模拟环境和实验室面包板,在点对象和扩展对象上演示了该算法。测量了该算法对错误源和噪声引入的鲁棒性。使用定量指标和图像质量的视觉评估来评估结果。实现了CLEAN算法,该算法可在稀疏望远镜阵列的图像光谱的峰之间进行插值。当在详细的高分辨率对象上演示该概念时,图像质量的这种增强非常有用。最后,提出了一种用于增强稀疏望远镜阵列的图像质量的概念。该技术结合了两个波长的图像,共聚焦在检测器阵列上。一幅图像具有高分辨率,欠采样和脱灰图像。第二张图像经过奈奎斯特采样,但分辨率较低。此技术显着提高了在单个波长下获得的稀疏阵列图像的质量。

著录项

  • 作者

    Fox, Marsha Jane.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Physics Optics.; Physics Astronomy and Astrophysics.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 280 p.
  • 总页数 280
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 光学;天文学;
  • 关键词

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