基于被动干涉微波亮温图像的海面目标探测算法研究

卢海梁; 王志强; 高超; 李一楠; 胡泰洋; 王佳坤; 杨小娇; 吕容川; 李浩

doi:10.11999/JEIT190256

基于被动干涉微波亮温图像的海面目标探测算法研究

doi: 10.11999/JEIT190256

1.
中国空间技术研究院西安分院西安 710100
2.
北京跟踪与通信技术研究所北京 100094
3.
南京理工大学电子工程与光电技术学院南京 210094

基金项目: 国家自然科学基金(41706204)，钱学森青年创新基金(QXSCXJJ2017-504)，中国空间技术研究院西安分院自主研发课题(Y17-KJCX-04)

详细信息

作者简介:
卢海梁：男，1986年生，博士，高级工程师，研究方向为被动微波辐射无源探测、被动微波遥感、射频干扰检测等

王志强：男，1979年生，高级工程师，研究方向为大气海洋环境遥感、海洋复杂背景下微弱环境探测等

高超：男，1980年生，高级工程师，研究方向为大气海洋环境天基遥感探测等

李一楠：男，1985年生，高级工程师，研究方向为被动微波遥感、综合孔径微波辐射计系统设计等

胡泰洋：男，1983年生，副研究员，研究方向为微波毫米波辐射测量技术、大气遥感等

王佳坤：女，1992年生，工程师，研究方向为被动微波遥感、被动微波辐射无源探测等

杨小娇：女，1988年生，工程师，研究方向为被动微波遥感、海洋遥感等

吕容川：女，1983年生，研究员，研究方向为全极化微波辐射计、被动微波遥感、大气探测等

李浩：1980年生，研究员，研究方向为全极化微波辐射计、综合孔径微波辐射计系统设计等

通讯作者:
胡泰洋　sun1983hu@126.com

中图分类号: TN959.72; TP79
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出版历程
- 收稿日期: 2019-04-12
- 修回日期: 2019-06-20
- 网络出版日期: 2019-10-30
- 刊出日期: 2020-03-19

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

1.
China Academy of Space Technology (Xi’an), Xi’an 710100, China
2.
Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
3.
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

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)

摘要

摘要:
为利用被动干涉微波技术作为我国天基预警体系的重要补充以实现对海面目标的有效探测，该文提出一种基于被动干涉微波图像的海面目标探测算法。首先，建立了海面背景和海面目标的被动干涉微波图像数学模型；其次，详细地介绍了海面目标的探测算法，并仿真验证了算法的可行性；最后，开展了机载实验。理论分析和实验验证均表明：该探测算法是可行性的，能有效地探测到海面目标，且具有较好的探测性能；海面航行的金属目标在被动干涉微波图像中呈现“一高一低”的特征，可利用该特征提高海面目标探测概率。该探测算法可为天基被动干涉微波技术探测海面目标提供参考。
- 海面目标探测 /
- 微波图像 /
- 被动干涉
Abstract:
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.
- Sea surface target detection /
- Microwave image /
- Passive interferometric

HTML全文

图 1 基于被动干涉微波图像的海面舰船目标探测算法流程图

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图 2 目标探测算法仿真图

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图 3 实验设备实物图

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图 4 900 m高度下中心单元绝对定标后的一组数据

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图 5 飞机在转弯横滚示意图

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图 6 图4中飞机平飞时4个被动干涉微波图像样例

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图 7 图4中飞机转弯时4个被动干涉微波图像样例(第1700帧、2900帧、4100帧和5300帧)

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图 8 目标探测算法样例

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图 9 采用提出的目标探测算法获得3个目标的相对运动轨迹图样例

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