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基于截断奇异值的镜像综合孔径亮温重建方法

吴袁超 吕容川 窦昊锋 李一楠 李浩 卢海梁 罗丰 李青侠

吴袁超, 吕容川, 窦昊锋, 李一楠, 李浩, 卢海梁, 罗丰, 李青侠. 基于截断奇异值的镜像综合孔径亮温重建方法[J]. 电子与信息学报, 2021, 43(2): 495-500. doi: 10.11999/JEIT190886
引用本文: 吴袁超, 吕容川, 窦昊锋, 李一楠, 李浩, 卢海梁, 罗丰, 李青侠. 基于截断奇异值的镜像综合孔径亮温重建方法[J]. 电子与信息学报, 2021, 43(2): 495-500. doi: 10.11999/JEIT190886
Yuanchao WU, Rongchuan LÜ, Haofeng DOU, Yi’nan LI, Hao LI, Hailiang LU, Feng LUO, Qingxia LI. A Brightness Temperature Reconstruction Method for Mirrored Aperture Synthesis Based on Truncated Singular Values[J]. Journal of Electronics & Information Technology, 2021, 43(2): 495-500. doi: 10.11999/JEIT190886
Citation: Yuanchao WU, Rongchuan LÜ, Haofeng DOU, Yi’nan LI, Hao LI, Hailiang LU, Feng LUO, Qingxia LI. A Brightness Temperature Reconstruction Method for Mirrored Aperture Synthesis Based on Truncated Singular Values[J]. Journal of Electronics & Information Technology, 2021, 43(2): 495-500. doi: 10.11999/JEIT190886

基于截断奇异值的镜像综合孔径亮温重建方法

doi: 10.11999/JEIT190886
基金项目: 国家自然科学基金(41706204),钱学森青年创新基金(QXSCXJJ2017-504),中国空间技术研究院西安分院自主研发课题(Y17-KJCX-04)
详细信息
    作者简介:

    吴袁超:女,1993年生,助理工程师,研究方向为微波遥感、被动微波辐射无源探测等

    吕容川:女,1983年生,研究员,研究方向为全极化微波辐射计、被动微波遥感、大气探测等

    窦昊锋:男,1992年生,博士后,研究方向为微波遥感、信号处理

    李一楠:男,1985年生,高级工程师,研究方向为被动微波遥感、综合孔径微波辐射计系统设计等

    李浩:男,1980年生,研究员,研究方向为全极化微波辐射计、综合孔径微波辐射计系统设计等

    卢海梁:男,1986年生,博士,高级工程师,研究方向为被动微波辐射无源探测、被动微波遥感、射频干扰检测等

    罗丰:男,1971年生,博士,教授,研究方向为雷达系统与雷达信号处理、高速实时信号处理与检测等

    李青侠:男,1966年生,博士,教授,研究方向为微波遥感、天线阵列及信号处理

    通讯作者:

    吕容川 roselinda_Irc@163.com

  • 中图分类号: V416.6

A Brightness Temperature Reconstruction Method for Mirrored Aperture Synthesis Based on Truncated Singular Values

Funds: The National Natural Science Foundation of China (41706204), The Qian Xuesen Young Innovation Foundation (QXSCXJJ2017-504), The Independent Investigate Project of Xi’an Institute of China Academy of Space Technology (Y17-KJCX-04)
  • 摘要:

    镜像综合孔径(MAS)辐射计的图像重建是由余弦可见度函数到场景亮温的图像反演过程,余弦可见度函数由转移方程求解得到。而转移方程为不适定方程组,相关输出中一个较小的误差,都可能引起求解的余弦可见度函数存在较大偏离。因此,对这个不适定方程组的求解是整个亮温重建算法成功的关键。该文基于镜像综合孔径的基本原理,分析转移矩阵的病态性,将截断奇异值分解应用于转移方程的求解问题中。仿真与实验表明,该方法可以有效降低噪声,提升图像质量。

  • 图  1  镜像综合孔径示意图

    图  2  双L阵列

    图  3  理想重建亮温图像

    图  4  带系统噪声的重建亮温图像

    图  5  转移矩阵P 的奇异值

    图  6  截断奇异值分解后的重建亮温图像

    图  7  实物图

    图  8  实验场景

    图  9  电暖器的重建亮温图像

    图  10  截断奇异值后的电暖器重建亮温图像

    表  1  满阵的秩

    天线单元数91525354963
    转移矩阵P大小36×42105×74300×116595×1561176×2201953×284
    rank(P)244895131191251
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-11-05
  • 修回日期:  2020-06-04
  • 网络出版日期:  2020-07-18
  • 刊出日期:  2021-02-23

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