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Computing the PSF with high-resolution reconstruction technique

机译：使用高分辨率重建技术计算PSF

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摘要

Point spread function (PSF) is a very important indicator of the imaging system; it can describe the filtering characteristics of the imaging system. The image is fuzzy when the PSF is not very well and vice versa. In the remote sensing image process, the image could be restored by using the PSF of the image system to get a clearer picture. So, to measure the PSF of the system is very necessary. Usually we can use the knife edge method, line spread function (LSF) method and streak plate method to get the modulation transfer function (MTF), and then use the relationship of the parameters to calculate the PSF of the system. In the knife edge method, the non-uniformity (NU) of the detector would lead an unstable precision of the edge angle; using the streak plate could get a more stable MTF, but it is only at one frequency point in one direction, so it is not very helpful to get a high-precision PSF. In this paper, we used the image of the point target directly and combined with the energy concentration to calculate the PSF. First we make a point matrix target board and make sure the point can image to a sub-pixel position at the detector array; then we use the center of gravity to locate the point targets image to get the energy concentration; then we fusion the targets image together by using the characteristics of sub-pixel and get a stable PSF of the system. Finally we use the simulation results to confirm the accuracy of the method.
机译：点扩散函数（PSF）是成像系统的非常重要的指标。它可以描述成像系统的滤波特性。如果PSF不太好，图像就会模糊，反之亦然。在遥感图像处理中，可以通过使用图像系统的PSF来恢复图像以获得更清晰的图像。因此，测量系统的PSF非常必要。通常我们可以使用刀口法，线扩展函数（LSF）法和条纹板法来获得调制传递函数（MTF），然后利用参数之间的关系来计算系统的PSF。在刀刃法中，检测器的不均匀度（NU）会导致刃角精度的不稳定；使用条纹板可以获得更稳定的MTF，但是它仅在一个方向上的一个频率点上，因此获得高精度PSF并不是很有帮助。在本文中，我们直接使用点目标的图像并结合能量浓度来计算PSF。首先，我们制作一个点矩阵目标板，并确保该点可以成像到检测器阵列上的一个亚像素位置。然后使用重心定位点目标图像以获取能量集中；然后利用子像素的特征将目标图像融合在一起，得到稳定的系统PSF。最后，我们利用仿真结果证实了该方法的准确性。

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  • 来源
  • 会议地点 Baltimore MD(US)
  • 作者

    XiaoFeng Su; FanSheng Chen; Xue Yang; Yulong Xue; YuCui Dong;

  • 作者单位

    Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China,University of Chinese Academy of Science, Beijing 100049, China;

    Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China;

    Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China,University of Chinese Academy of Science, Beijing 100049, China;

    Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China,University of Chinese Academy of Science, Beijing 100049, China;

    Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China,University of Chinese Academy of Science, Beijing 100049, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PSF; sub pixel; impulse response; high-resolution reconstruction;

    机译：PSF；子像素冲动反应高分辨率重建;

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