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Angle of Polarization Based Target Detection in Passive Millimeter-Wave Imaging

  • Huaixin Wu
  • , Yayun Cheng*
  • , Jinghui Qiu
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Target detection is a key issue in the application of passive millimeter-wave (PMMW) imaging detection technology. Traditional methods are usually based on the original brightness temperature gray difference for threshold segmentation. In this paper, a new method for target detection using angle of polarization (AOP) is proposed. An updated AOP image is obtained by traversing the pixel values of an AOP image through a window that calculates the standard variation inside the window. Typical targets can be detected easily because they are distinguished from the background after the window operation. According to simulated multi-polarization PMMW images of a sea surface target, the proposed method is compared with a traditional method base on the degree of linear polarization (DOLP). The results show that our method has an advantage over DOLP.

Original languageEnglish
Title of host publication2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350338874
DOIs
StatePublished - 2023
Externally publishedYes
Event15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Qingdao, China
Duration: 14 May 202317 May 2023

Publication series

Name2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings

Conference

Conference15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023
Country/TerritoryChina
CityQingdao
Period14/05/2317/05/23

Keywords

  • Passive millimeter-wave (PMMW)
  • angle of polarization (AOP)
  • polarization imaging
  • target detection

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