Data extraction algorithm for streak tube imaging lidar

Chenning Ma, Wen Zhao, Shaokun Han*, Ping Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Streak tube imaging lidar (STIL) is a new type of flash laser radar. The characteristic of STIL is wide field of view and high resolution. The exact streak data extraction is crucial in the three-dimensional reconstruction of the target. The deviation caused by the noise and CCD sampling has been ignored by the existing peak detection method. It causes deviation when the data of the streak image is extracted. Based on the analysis of the returned waveform and the theory waveform, a method of streak data extraction algorithm is presented and it not only eliminates the deviation but also filters the system noise effectively. A ladder imaging experiment is designed to verify the accuracy of the algorithm. It shows that this algorithm can improve the accuracy of streak data extraction obviously.

Original languageEnglish
Article number0414002
Pages (from-to)1
Number of pages1
JournalZhongguo Jiguang/Chinese Journal of Lasers
Volume39
Issue number4
DOIs
Publication statusPublished - Apr 2012

Keywords

  • Gaussian distribution
  • Image processing
  • Lagrange interpolation
  • Lidar
  • Noise
  • Streak tube

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