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Three-Dimensional Reconstruction of Multi-View SAR Ship Targets Based on Semantic Information

  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

Three-dimensional (3-D) reconstruction of multi-view synthetic aperture radar (SAR) can effectively correct geometric distortion and recover the target scene intuitively. However, due to the drastic changes in SAR images during the multi-view observation, it would appear many false estimation points in the traditional 3-D reconstruction algorithms. This paper proposes a new 3-D reconstruction algorithm based on semantic information of ship structure to improve the 3-D reconstruction results with multi-view SAR. The semantic information is used to construct the 3-D solution space of the ship target, which can greatly improve the reconstruction accuracy. Simulations verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9794-9797
Number of pages4
ISBN (Electronic)9798350360325
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece
Duration: 7 Jul 202412 Jul 2024

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Country/TerritoryGreece
CityAthens
Period7/07/2412/07/24

Keywords

  • Multi-view SAR
  • semantic information
  • ship target
  • three-dimensional reconstruction

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