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
计量
- 文章访问数: 2923
- HTML全文浏览量: 1422
- PDF下载量: 134
- 被引次数: 0
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

下载: 全尺寸图片幻灯片

图 2 目标探测算法仿真图

下载: 全尺寸图片幻灯片

图 3 实验设备实物图

下载: 全尺寸图片幻灯片

图 4 900 m高度下中心单元绝对定标后的一组数据

下载: 全尺寸图片幻灯片

图 5 飞机在转弯横滚示意图

下载: 全尺寸图片幻灯片

图 6 图4中飞机平飞时4个被动干涉微波图像样例

下载: 全尺寸图片幻灯片

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)

下载: 全尺寸图片幻灯片

图 8 目标探测算法样例

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

参考文献(18)

张祖荫, 林士杰. 微波辐射测量技术及应用[M]. 北京: 电子工业出版社, 1995.

ZHANG Zuyin and LIN Shijie. Microwave Radiation Measurement Technology and Application[M]. Beijing: Electronic Industry Book Concern, 1995.

YUJIRI L, SHOUCRI M, and MOFFA P. Passive millimeter wave imaging[J]. IEEE Microwave Magazine, 2003, 4(3): 39–50. doi: 10.1109/MMW.2003.1237476

JACOBS E L and FURXHI O. Target identification and navigation performance modeling of a passive millimeter wave imager[J]. Applied Optics, 2010, 49(19): E94–E105. doi: 10.1364/AO.49.000E94

彭树生, 李兴国. 毫米波辐射计反空中涂层隐身飞机的分析[J]. 红外与毫米波学报, 1998, 17(6): 454–458.

PENG Shusheng and LI Xingguo. Analysis of anti-coating-stealth-airplane with a millimeter wave radiometer[J]. Journal of Infrared and Millimeter Waves, 1998, 17(6): 454–458.

董晓龙, 吴季, 姜景山. 微波辐射计用于隐身目标探测的性能分析[J]. 系统工程与电子技术, 2001, 23(3): 54–57. doi: 10.3321/j.issn:1001-506X.2001.03.016

DONG Xiaolong, WU Ji, and JIANG Jingshan. The performance of the detection of stealthy targets by microwave radiometer[J]. Systems Engineering and Electronics, 2001, 23(3): 54–57. doi: 10.3321/j.issn:1001-506X.2001.03.016

吴露露, 胡飞, 朱耀庭, 等. 毫米波热辐射阵列的空间谱估计误差模型研究[J]. 红外与毫米波学报, 2010, 29(2): 123–127.

WU Lulu, HU Fei, ZHU Yaoting, et al. Error model for spatial spectrum estimation of millimeter-wave thermal radiation array[J]. Journal of Infrared and Millimeter Waves, 2010, 29(2): 123–127.

牛立杰, 刘浩, 吴季. 高灵敏度、高稳定度微波辐射计技术研究与实验验证[J]. 电子与信息学报, 2017, 39(8): 2028–2032. doi: 10.11999/JEIT161112

NIU Lijie, LIU Hao, and WU Ji. Research and experimental verification on high sensitivity and high stability microwave radiometer[J]. Journal of Electronics &Information Technology, 2017, 39(8): 2028–2032. doi: 10.11999/JEIT161112

牛立杰, 刘浩, 武林, 等. 面向星载海洋盐度探测应用的L波段综合孔径辐射计原理样机研制与试验研究[J]. 电子与信息学报, 2017, 39(8): 1841–1847. doi: 10.11999/JEIT161233

NIU Lijie, LIU Hao, WU Lin, et al. Development and experimental study on L-band synthetic aperture radiometer prototype for ocean salinity measurement[J]. Journal of Electronics &Information Technology, 2017, 39(8): 1841–1847. doi: 10.11999/JEIT161233

SHAO Xuanmin, JUNOR W, ZENICK R, et al. Passive interferometric millimeter-wave imaging: achieving big results with a constellation of small satellites[J]. SPIE, 2004, 5410: 270–277. doi: 10.1117/12.542448

杨宏. 基于机器学习的SAIR图像反演和目标检测方法研究[D]. [博士论文], 华中科技大学, 2012.

YANG Hong. Research on brightness temperature reconsturcion method and target detection algorithm of Synthetic Aperture Interferometric Radiometers based on machine learning[D]. [Ph.D. dissertation], Huazhong University of Science & Technology, 2012.

胡泰洋, 肖泽龙, 陈磊, 等. 隐匿违禁物品探测的毫米波辐射图像融合方法[J]. 南京理工大学学报, 2012, 36(1): 106–111. doi: 10.3969/j.issn.1005-9830.2012.01.019

HU Taiyang, XIAO Zelong, CHEN Lei, et al. Millimeter-wave radiometric image fusion for concealed contraband detection[J]. Journal of Nanjing University of Science and Technology, 2012, 36(1): 106–111. doi: 10.3969/j.issn.1005-9830.2012.01.019

刘静, 张光锋, 褚庆国, 等. 基于被动毫米波图像的金属目标特征提取方法[J]. 计算机测量与控制, 2017, 25(5): 169–172. doi: 10.16526/j.cnki.11-4762/tp.2017.05.047

LIU Jing, ZHNAG Guangfeng, CHU Qingguo, et al. Feature extraction of metal targets based on millimeter wave radiation image[J]. Computer Measurement &Control, 2017, 25(5): 169–172. doi: 10.16526/j.cnki.11-4762/tp.2017.05.047

苏兴华, 贺平. THz隐身目标无源遥感建模及仿真分析[J]. 太赫兹科学与电子信息学报, 2017, 15(6): 898–902. doi: 10.11805/TKYDA201706.0898

SU Xinghua and HE Ping. Modeling and simulation of stealth target with THz passive sensing[J]. Journal of Terahertz Science and Electronic Information Technology, 2017, 15(6): 898–902. doi: 10.11805/TKYDA201706.0898

李小辉, 朱莉, 陈建飞. 基于毫米波辐射截面特征的装甲目标识别方法[J]. 电光与控制, 2019, 26(3): 80–83. doi: 10.3969/j.issn.1671-637X.2019.03.017

LI Xiaohui, ZHU Li, and CHEN Jianfei. Armored target recognition based on cross section features of millimeter wave radiation[J]. Electronics Optics &Control, 2019, 26(3): 80–83. doi: 10.3969/j.issn.1671-637X.2019.03.017

高远, 张光锋, 于畅畅, 等. 典型金属立体目标的毫米波辐射特性研究[J]. 计算机测量与控制, 2019, 27(1): 233–236. doi: 10.16526/j.cnki.11-4762/tp.2019.01.048

GAO Yuan, ZHANG Guangfeng, YU Changchang, et al. Research on MMW radiation characteristic of typical mental targets[J]. Computer Measurement &Control, 2019, 27(1): 233–236. doi: 10.16526/j.cnki.11-4762/tp.2019.01.048

CHENG Yayun, HU Fei, WU Hongfei, et al. Multi-polarization passive millimeter-wave imager and outdoor scene imaging analysis for remote sensing applications[J]. Optics Express, 2018, 26(16): 20145–20159. doi: 10.1364/OE.26.020145

卢海梁, 李一楠, 宋广南, 等. 海面目标星载微波辐射无源探测技术研究[J]. 红外与毫米波学报, 2019, 38(5): 674–682.

LU Hailiang, LI Yinan, SONG Guangnan, et al. Research on the passive detection technology using space-borne synthesis aperture microwave radiometers for the sea surface target[J]. Journal of Infrared and Millimeter Waves, 2019, 38(5): 674–682.

GOURRION J, SABIA R, PORTABELLA M, et al. Characterization of the SMOS instrumental error pattern correction over the ocean[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(4): 793–797. doi: 10.1109/lgrs.2011.2181990

施引文献

资源附件(0)

访问统计