Land-sea Separation and Sea Surface Zoning Algorithms for Sea Surface Target

ZHOU Ming; MA Liang; WANG Ning; YANG Yuhao

doi:10.12000/JR19036

Volume 8 Issue 3

Jun. 2019

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Article Navigation > Journal of Radars > 2019 > 8(3): 366-372

LIU Tao, YANG Ziyuan, JIANG Yanni, et al. Review of ship detection in polarimetric synthetic aperture imagery[J].Journal of Radars, 2021, 10(1): 1–19. doi: 10.12000/JR20155

Citation:

ZHOU Ming, MA Liang, WANG Ning, et al. Land-sea separation and sea surface zoning algorithms for sea surface target[J]. Journal of Radars, 2019, 8(3): 366–372. doi: 10.12000/JR19036

LIU Tao, YANG Ziyuan, JIANG Yanni, et al. Review of ship detection in polarimetric synthetic aperture imagery[J].Journal of Radars, 2021, 10(1): 1–19. doi: 10.12000/JR20155

Citation:

ZHOU Ming, MA Liang, WANG Ning, et al. Land-sea separation and sea surface zoning algorithms for sea surface target[J]. Journal of Radars, 2019, 8(3): 366–372. doi: 10.12000/JR19036

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Land-sea Separation and Sea Surface Zoning Algorithms for Sea Surface Target

DOI: 10.12000/JR19036

ZHOU Ming^{1,2
,
,},
MA Liang^{1,2
,},
WANG Ning^{1,2
,},
YANG Yuhao^1,2

①.
Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
②.
Key Laboratory of Intellisense Technology, Nanjing 210039, China

Funds: The National Ministries Foundation

More Information

Corresponding author: ZHOU Ming, mikecn@foxmail.com
Received Date: 2019-03-01
Rev Recd Date: 2019-06-10

Available Online: 2019-06-24

Publish Date: 2019-06-01

Abstract

Abstract

Adaptive detection can effectively improve the detection performance of marine surveillance radars; however, the islands or lands introduce discrete or flaky strong clutter, which may result in wrong covariance matrix estimation. Meanwhile, the complexity of the sea clutter complicates the use of a single model to describe the whole sea clutter. To solve the problem of serious degradation of clutter suppression performance when non-uniform samples participate in covariance matrix estimation and inaccuracy of sea clutter modeling, a land-sea separation and sea surface zoning algorithms are proposed for sea surface target detection. First, the land clutter and sea clutter are distinguished according to the characteristics that the phases of land echo sequences are strongly correlated while the phases of ocean echo sequences are random. Second, the sea surface is zoned according to the rubbing angle; further, the optimal distribution suited for each sea clutter zone is fitted and the appropriate adaptive detection method is selected according to the clutter distribution. Finally, the proposed algorithm is validated based on the measured data of an S-band radar. The results show that the proposed algorithm can effectively improve the detection performance of sea surface targets compared with the traditional detection algorithm.
- Marine Surveillance radar,
- Land-sea separation,
- Sea surface zoning,
- Adaptive detection

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References(15)

References

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