Current trends in ship detection in single polarization synthetic aperture radar imagery

被引:6
|
作者
Stefanowicz, Jerzy [1 ,2 ]
Ali, Irfan [3 ]
Andersson, Simon [3 ]
机构
[1] Warsaw Univ Technol, Inst Elect Syst, Ul Nowowiejska 15-19, PL-00665 Warsaw, Poland
[2] ICEYE Polska Sp Zoo, Warsaw, Poland
[3] ICEYE, Espoo, Finland
来源
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2020 | 2020年 / 11581卷
关键词
SAR; ship detection; review; SAR IMAGES; ALGORITHM;
D O I
10.1117/12.2580070
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The aim of this work is to give an overview of the latest literature concerning ship detection in single polarization synthetic aperture radar imagery. The study covers relevant literature published in the last 5 years and presents new developments in ship detection. Different chapters of the article are devoted to development in CFAR methods, CNN-based methods, GLRT-based methods, feature extraction-based methods, weighted information entropy-based methods and variational Bayesian inference-based methods. The different ship detection approaches are summarized and organized in a table.
引用
收藏
页数:12
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