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- W3162000904 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. The problems associated with sea clutter modeling and parameter estimation, slow and small target detection, dense target detection, and other issues remain a challenge in PolSAR ship detection that needs to be addressed. In this paper, four main classes of PolSAR ship detection, namely, target polarimetric characteristic detection, slow and small target detection, ship wake detection, and target detection based on deep learning, are summarized. Moreover, the possible solutions to the existing problems in each class are provided, and their future development trends, which can provide some valuable suggestions for interested researchers, are predicted." @default.
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- W3162000904 date "2021-02-08" @default.
- W3162000904 modified "2023-09-23" @default.
- W3162000904 title "Review of Ship Detection in Polarimetric Synthetic Aperture Imagery (in English)" @default.
- W3162000904 doi "https://doi.org/10.12000/jr20155" @default.
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