Back to Search Start Over

Review of Ship Detection in Polarimetric Synthetic Aperture Imagery

Authors :
Tao LIU
Ziyuan YANG
Yanni JIANG
Gui GAO
Source :
Leida xuebao, Vol 10, Iss 1, Pp 1-19 (2021)
Publication Year :
2021
Publisher :
China Science Publishing & Media Ltd. (CSPM), 2021.

Abstract

Polarimetric Synthetic Aperture Radar (PolSAR) uses two-dimensional pulse compression to obtain high-resolution images containing polarimetric information. PolSAR has been widely used in military reconnaissance, topographic mapping, environmental and natural disaster monitoring, marine ship detection, and related fields. Addressing the problems associated with sea-clutter modelling and parameter estimation, slow and small target detection, dense target detection, as well as other issues, still remains a challenge in PolSAR ship detection. In this paper, four main classes for PolSAR ship detection are summarized: target polarimetric feature detection, slow and small target detection, ship wake detection, and deep learning detection. In addition, the possible solutions to existing problems in each class are given, and their future development trends are predicted, which can provide some valuable suggestions for interested researchers.

Details

Language :
English, Chinese
ISSN :
2095283X
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Leida xuebao
Publication Type :
Academic Journal
Accession number :
edsdoj.8b5564f0d1b54e15b39b7ca4924091fd
Document Type :
article
Full Text :
https://doi.org/10.12000/JR20155