一种多极化SAR舰船目标与方位向模糊鉴别方法

周伟; 孙艳丽; 许成斌; 关键

doi:10.12000/JR14147

一种多极化SAR舰船目标与方位向模糊鉴别方法

doi: 10.12000/JR14147

1.
(海军航空工程学院电子信息工程系烟台 264001)
2.
(海军航空工程学院基础实验部烟台 264001)

基金项目:

国家自然科学基金(61201445, 61179017)和国防预研基金资助课题

详细信息

作者简介:
周伟(1980-)，男，湖北黄石人，2011年于海军航空工程学院获得博士学位，现为海军航空工程学院信息融合研究所讲师，主要研究方向为多源信息融合、侦察图像处理、目标检测与识别。E-mail:yeaweam@gmail.com 孙艳丽(1982-)，女，山东莱阳人，海军航空工程学院基础实验部，工程师，主要研究方向为信号处理。E-mail:sunyanli195710@163.com 许成斌(1990-)，男，黑龙江伊春人，2012年获哈尔滨工程大学学士学位，同年进入海军航空工程学院攻读硕士学位，研究方向为遥感图像解译与分析。E-mail:xuchengbin333@126.com 关键(1968-)，男，辽宁锦州人，海军航空工程学院电子信息工程系主任，教授，博士生导师，主要研究方向为雷达目标检测与跟踪、侦察图像处理和信息融合。E-mail:guanjian96@tsinghua.org.cn

计量
- 文章访问数: 2449
- HTML全文浏览量: 217
- PDF下载量: 1267
- 被引次数: 0
出版历程
- 收稿日期: 2014-12-03
- 修回日期: 2015-03-16
- 网络出版日期: 2015-02-28

A Method for Discrimination of Ship Target and Azimuth Ambiguity in Multi-polarimetric SAR Imagery

1.
(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)
2.
(Department of Basic Experiment, Naval Aeronautical and Astronautical University, Yantai 264001, China)

摘要

摘要: 针对SAR图像舰船目标检测过程中存在方位向模糊造成虚警的问题，该文设计了一种基于改进的H//WishartH?非监督分类的多极化SAR图像舰船与方位向模糊鉴别方法。该方法首先提取目标散射回波峰值区域，以该区域的H//Wishart分类结果为初始聚类中心，利用复Wishart分布的最大似然分类器改善分类结果，通过对比分析各散射类型区域的结构鉴别舰船目标和方位向模糊。通过实验表明该方法能有效地鉴别舰船目标与方位向模糊，减少SAR舰船目标检测过程中存在的虚警。
- 多极化SAR图像 /
- 方位向模糊 /
- 非监督分类 /
- 舰船检测
Abstract: Aiming to remove the false alarm caused by azimuth ambiguity in SAR imagery during the process of ship target detection, a method based on the improved H//Wishart unsupervised classification is proposed. First, the scattering echo peak zone of target is extracted and theH/ classification results are treated as the initial cluster centers. Second, the ship target and azimuth ambiguity are identified by comparing and analyzing the structure of each region. It is showed by experiment that the method can detect ships based on the azimuth ambiguity; thus the false alarm rate in SAR-based ship detection is reduced.
- Multi-polarimetric SAR imagery /
- Azimuth ambiguity /
- Unsupervised classification /
- Ship detection

HTML全文

参考文献(12)

[1]	张澄波. 综合孔径雷达原理、系统分析与应用[M]. 北京: 科学出版社, 1989: 50-60. Zhang Cheng-bo. System Analysis, Principle and Application of Synthetic Aperture Radar[M]. Beijing: Science Press, 1989: 50-60.
[2]	刘利敏, 余洁, 王彦兵, 等. 一种利用地物散射特性进行后续类别调整的极化SAR 影像分类方法[J]. 光谱学与光谱分析, 2014, 34(1): 151-156. Liu Li-min, Yu Jie, Wang Yan-bing, et al.. A novel PolSAR image classification method with subsequent category adjustment by terrain scattering characteristic[J]. Spectroscopy and Spectral Analysis, 2014, 34(1): 151-156.
[3]	何楚, 刘明, 冯倩, 等. 基于多尺度压缩感知金字塔的极化干涉SAR 图像分类[J]. 自动化学报, 2011, 37(7): 820-827. He Chu, Liu Ming, Feng Qian, et al.. PolInSAR image classification based on compressed sensing and multi-scale pyramid[J]. Acta Automatica Sinica, 2011, 37(7): 820-827.
[4]	梁志峰, 凌飞龙, 陈尔学. 全极化SAR 数据的最大后验概率分类[J]. 武汉大学学报(信息科学版), 2013, 38(6): 648-651. Liang Zhi-feng, Ling Fei-long, and Chen Er-xue. Classification of full-polarimetric synthetic aperture radar data with maximum a posteriori[J]. Geomatics and Information Science of Wuhan University, 2013, 38(6): 648-651.
[5]	马立虎, 李洋, 洪文. 一种基于软阈值方法的改进A1/A2 极化干涉分类算法[J]. 国外电子测量技术, 2010, 29(7): 21-26. Ma Li-hu, Li Yang, and Hong Wen. Improved A1/A2 PolInSAR classification algorithm based on soft threshold method[J]. Foreign Electronic Measurement Technology, 2010, 29(7): 21-26.
[6]	Wang Chang-cheng. Method for ship detection from SAR images[D]. [Ph.D. dissertation], Wuhan University, 2008: 45-51.
[7]	Wang Wen-guang. Study on the technology of polarization SAR information processing[D]. [Ph.D. dissertation], Beihang University, 2007: 109-119.
[8]	Cloude S R and Pottier E. An entropy based classification scheme for land applications of polarimetric SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(1): 68-78.
[9]	Cloude S R and Pottier E. A review of target decomposition theorems in radar polarimetry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(2): 498-518.
[10]	刘秀清, 杨汝良. 基于全极化SAR 非监督分类的迭代分类方法[J]. 电子学报, 2004, 32(12): 1982-1986. Liu Xiu-qing and Yang Ru-liang. The lteration classification method and experiment study based on unsupervised classification of fully polarimetric SAR image[J]. Acta Electronica Sinica, 2004, 32(12): 1982-1986.
[11]	Lee J S, Grunes M R, Ainsworth T L, et al.. Unsupervised classification using polarimetric decomposition and the complex Wishart distribution[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2249-2259.
[12]	王超, 张红, 等. 全极化合成孔径雷达图像处理[M]. 北京: 科学出版社, 2008: 118-119. Wang Chao, Zhang Hong, et al.. Polarimetric Synthetic Aperture Radar Image Processing[M]. Beijing: Science Press, 2008: 118-119.