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Fast space target detection using segmented planar imaging detector for electro-optical reconnaissance

  • Zhibin Ren
  • , Wangyang Yu
  • , Bing Zhu*
  • , Mei Ming
  • , Junyu Xia
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology
  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

A fast space target detection method using Segmented Planar Imaging Detector for Electro-Optical Reconnaissance (SPIDER) in frequency domain is proposed. This frequency domain detection method is based on the sparse arrangement of lenslet arrays and very low spectral sampling data amount in SPIDER. The principles, processes, and parameters settings of this novel frequency domain detection method are illustrated. Finally, the superiority of this frequency domain detection method is verified by a comparison between the detection performance in space domain and frequency domain. The results show that the speed of the proposed frequency domain detection method is more than 13 times faster than that of traditional space domain detection method.

Original languageEnglish
Title of host publicationInternational Conference on Optoelectronic Information and Computer Engineering, OICE 2025
EditorsYang Yue, Yufei Ma
PublisherSPIE
ISBN (Electronic)9781510695054
DOIs
StatePublished - 18 Sep 2025
Externally publishedYes
EventInternational Conference on Optoelectronic Information and Computer Engineering, OICE 2025 - Taiyuan, China
Duration: 15 Jul 202517 Jul 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13806
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Conference on Optoelectronic Information and Computer Engineering, OICE 2025
Country/TerritoryChina
CityTaiyuan
Period15/07/2517/07/25

Keywords

  • SPIDER
  • fast space target detection
  • frequency domain detection
  • histogram of oriented gradient
  • space target
  • support vector machine

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