许小剑. 如何理解目标高分辨率雷达图像及其像素值[J]. 电波科学学报, 2019, 34(1): 33-44. doi: 10.13443/j.cjors.2018073101
      引用本文: 许小剑. 如何理解目标高分辨率雷达图像及其像素值[J]. 电波科学学报, 2019, 34(1): 33-44. doi: 10.13443/j.cjors.2018073101
      XU Xiaojian. How to understand high resolution radar images and the pixel values of targets[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2019, 34(1): 33-44. doi: 10.13443/j.cjors.2018073101
      Citation: XU Xiaojian. How to understand high resolution radar images and the pixel values of targets[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2019, 34(1): 33-44. doi: 10.13443/j.cjors.2018073101

      如何理解目标高分辨率雷达图像及其像素值

      How to understand high resolution radar images and the pixel values of targets

      • 摘要: 经过图像定标后的雷达图像及其像素值具有雷达散射截面(radar cross section,RCS)的量纲,但是对于该像素值是否能代表目标实际RCS电平一直存在不同的理解.本文通过引入与传统RCS定义相一致的目标散射函数和散射分布函数基本概念,结合经典目标的散射机理和雷达像分析,讨论复杂目标高分辨率雷达图像理解和对像素值的解释.研究表明:雷达图像的像素值不应直接解释为目标的RCS电平,但在空间频率域和图像域,两者数据之间满足帕萨瓦定理;在小孔径角成像条件下,空间频率域的RCS均值等于强度图像的全部像素值之和.

         

        Abstract: The pixel values of a calibrated radar image are quantified in terms of the same unit of radar cross section (RCS). However, it has long been an argument that should the pixel value be considered to represent the practical RCS level of a target or not. In this work, two concepts are first introduced, namely, the target scattering function and the target scattering distribution function, which are defined with coincidence to that of conventional RCS. Combining the concepts with an analysis of electromagnetic scattering mechanism and radar images of a classic target, the understanding of high resolution radar images as well as their pixel values for complex targets are discussed. It is concluded that, the pixel values of a high resolution radar image should not be simply explained as the RCS level of a target, but Parseval's theorem holds between the data in spatial frequency and in image domains. In the cases when with a small imaging aperture angle, the average RCS in spatial frequency domain is equal to the summation of the pixel values of a magnitude image.

         

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