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Ship Target Detection Framework Based on Non-Image Domain

  • Suyang Xing*
  • , Fei Zou
  • , Wei Qi
  • , Wei Yang
  • *Corresponding author for this work

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

Abstract

In order to meet the needs of efficient SAR detection of marine ship targets, this paper proposes a ship target detection processing framework based on non-image domain, which is divided into three parts: data generation, rough detection and fine detection. Composite scene data and real scene data are processed to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2022 5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-44
Number of pages4
ISBN (Electronic)9798350320428
DOIs
StatePublished - 2022
Event5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022 - Beijing, China
Duration: 2 Dec 20224 Dec 2022

Publication series

NameProceedings - 2022 5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022

Conference

Conference5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022
Country/TerritoryChina
CityBeijing
Period2/12/224/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Non-image detection
  • Real time detection
  • SAR
  • Ship detection

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