欢迎访问中国科学院大学学报,今天是

中国科学院大学学报

• • 上一篇    下一篇

一种无起点约束的快速投影系数递推计算方法*

王平1,2, 周梅1, 陈玖英1†, 周春城1   

  1. 1 中国科学院空天信息创新研究院中国科学院定量遥感信息技术重点实验室,北京 100094;
    2 中国科学院大学电子电气与通信工程学院,北京 100049
  • 收稿日期:2022-12-02 修回日期:2023-03-03 发布日期:2023-03-21
  • 通讯作者: E-mail:chenjy@aircas.ac.cn
  • 基金资助:
    *中国科学院空天信息创新研究院重点部署项目(E0Z206020F)资助

A fast recursive calculation method of projection coefficients without starting point constraint

WANG Ping1,2, ZHOU Mei1, CHEN Jiuying1, ZHOU Chuncheng1   

  1. 1 Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing,100094, China;
    2 School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing,100049, China
  • Received:2022-12-02 Revised:2023-03-03 Published:2023-03-21

摘要: 基于移动激光气体遥测技术获取气体浓度二维分布主要通过图像重建算法实现,其中快速计算投影系数是图像重建的关键,然而基于移动激光气体遥测技术的遥测起点会随机分布在重建区域的网格内或网格线上,现有的快速投影系数递推计算方法均不适用。本文提出了一种无起点约束的快速投影系数递推计算方法,设计三个光程累积因子,在不增加计算量的前提下,统一了遥测起点在网格内和网格线上的递推过程,实现了无起点约束的投影系数的快速计算。利用代数重建技术进行了重建实验,验证了本文方法的有效性,相对均方根误差最小约为0.113%,计算速度最高约是经典Siddon算法的13.9倍。本文提出的递推计算方法应用范围更广,首次实现了无起点约束的投影系数递推计算。

关键词: 代数重建技术, 图像重建技术, 投影系数, 室内气体

Abstract: The two-dimensional gas concentration distribution obtained based on mobile laser gas telemetry technology is mainly achieved through an image reconstruction algorithm. Fast calculation of the projection coefficient is the key to the image reconstruction algorithm. However, the telemetry starting point based on mobile laser gas telemetry technology will be randomly distributed in the grid or on the grid line of the reconstruction area, and the existing fast recursive calculation methods of projection coefficient are not applicable. This paper proposes a fast recursive calculation method of projection coefficient without starting point constraint. Three optical path accumulation factors are designed, which unifies the recursive process of telemetry starting point in the grid and on the grid line without increasing the amount of calculation and realizes the fast calculation of projection coefficient without starting point constraint. Algebraic reconstruction technology is used for reconstruction experiments, which verifies the effectiveness of this method. The minimum relative root mean square error is about 0.113%, and the maximum calculation speed is about 13.9 times that of the classical Siddon algorithm. The recursive calculation method proposed in this paper has a wider range of applications. It is the first time to realize the recursive calculation of projection coefficients without starting point constraints.

Key words: algebraic reconstruction technique, image reconstruction techniques, projection coefficient, indoor gas

中图分类号: