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Volume 42 Issue 3
Mar.  2020
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Hailiang LU, Zhiqiang WANG, Chao GAO, Yinan LI, Taiyang HU, Jiakun WANG, Xiaojiao YANG, Rongchuan LÜ, Hao LI. Research on the Detection Algorithm for Sea Surface Targets Based on Passive Interferometric Microwave Images[J]. Journal of Electronics & Information Technology, 2020, 42(3): 563-572. doi: 10.11999/JEIT190256
Citation: Hailiang LU, Zhiqiang WANG, Chao GAO, Yinan LI, Taiyang HU, Jiakun WANG, Xiaojiao YANG, Rongchuan LÜ, Hao LI. Research on the Detection Algorithm for Sea Surface Targets Based on Passive Interferometric Microwave Images[J]. Journal of Electronics & Information Technology, 2020, 42(3): 563-572. doi: 10.11999/JEIT190256

Research on the Detection Algorithm for Sea Surface Targets Based on Passive Interferometric Microwave Images

doi: 10.11999/JEIT190256
Funds:  The National Natural Science Foundation of China (41706204), The Qian Xuesen Young Innovation Foundation (QXSCXJJ2017-504), The Independent Investigate Project of Xi’an Institute of China Academy of Space Technology (Y17-KJCX-04)
  • Received Date: 2019-04-12
  • Rev Recd Date: 2019-06-20
  • Available Online: 2019-10-30
  • Publish Date: 2020-03-19
  • To effectively detect sea surface targets by the passive interferometric microwave technology considered as an important complement for the space-based early warning system of China, a detection algorithm is proposed based on the Passive Interferometric Microwave Images (PIMI). First, the mathematical model of PIMI is established for the sea background and sea surface target. Second, the detection algorithm is introduced in detail, and numerical simulations are performed to demonstrate the feasibility of the proposed algorithm. Finally, the air-borne experiments are also carried out. Both theoretical and experimental results demonstrate that the proposed algorithm is feasible, can effectively detect sea surface targets, and show good performance. That also exhibits that the moving metal vessels on the sea surface show a “hot” and “low” characteristic in PIMI, which can be used to improve the detection probability. The proposed detection algorithm can provide a reference for space-based PIMI to detect sea surface targets.

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