Ship Detection for Polarimetric SAR Images Based on Anchor-Free Network in High Sea State

Zhe Xu, Jie Geng, Zihao Zhao, Wen Jiang

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

Abstract

Ship detection of polarimetric SAR (PolSAR) images has been developed for marine monitoring due to the abundant scattering features. However, PolSAR images in high sea state generally contain serious surface clutter interference and targets are blurry, which both hamper the performance of ship detection. To overcome the issue, a novel anchor-free ship detection network is proposed for PolSAR images. In the proposed method, polarimetric scattering features are extracted by polarimetric decomposition firstly, and multi-head anchor-free detector is developed to improve the detection performance of ships in high sea state. Moreover, Shannon entropy normalization and center-penalty are developed for optimization of model robustness, which aims to enhance the robustness of the detector. Experimental results on the GaoFen -3 dataset in high sea state demonstrate that the proposed method has superior detection performance than other advanced deep detection approaches.

Original languageEnglish
Title of host publication2021 CIE International Conference on Radar, Radar 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages594-598
Number of pages5
ISBN (Electronic)9781665498142
DOIs
StatePublished - 2021
Event2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China
Duration: 15 Dec 202119 Dec 2021

Publication series

NameProceedings of the IEEE Radar Conference
Volume2021-December
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2021 CIE International Conference on Radar, Radar 2021
Country/TerritoryChina
CityHaikou, Hainan
Period15/12/2119/12/21

Keywords

  • anchor-free network
  • high sea state
  • polarimetric synthetic aperture radar (PolSAR)
  • Ship detection

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