一种基于全极化SAR数据广义多子视相干的海面船只目标检测方法

doi:10.3969/j.issn.0372-2112.2016.06.037

电子学报 ›› 2016, Vol. 44 ›› Issue (6): 1516-1520.DOI: 10.3969/j.issn.0372-2112.2016.06.037

一种基于全极化SAR数据广义多子视相干的海面船只目标检测方法

魏钜杰, 张继贤, 黄国满, 赵争

中国测绘科学研究院, 北京 100830

收稿日期:2015-01-09 修回日期:2015-03-02 出版日期:2016-06-25
- 作者简介:
- 魏钜杰 男,博士,1983年10月生于福建平潭.主要从事合成孔径雷达影像的几何处理与地物解译识别等方面的研究.E-mail:weijujie0417@gmail.com;张继贤 男,1965年5月出生于陕西商洛.现任中国测绘科学研究院院长、研究员,博士生导师.主要研究方向为摄影测量与遥感、地理信息系统、资源与环境遥感监测.E-mail:zhangjx@casm.ac.cn
- 基金资助:
- 测绘地理信息公益性行业科研专项项目 (No.201412002); 中国博士后科学基金资助项目 (No.2016M591219)

A New Ship Detection Method Based on Generalized Multi-sublooks Correlation Using POLSAR Data

WEI Ju-jie, ZHANG Ji-xian, HUANG Guo-man, ZHAO Zheng

Chinese Academy of Surveying & Mapping, Beijing 100830, China

Received:2015-01-09 Revised:2015-03-02 Online:2016-06-25 Published:2016-06-25
- Supported by:
- Special Research Project for Non-profit Sector of Surveying and Mapping Geographic Information (No.201412002); Supported by China Postdoctoral Science Foundation (No.2016M591219)

摘要/Abstract

摘要：

传统基于子视相干的检测算法,如2L-IHP(Two Looks Internal Hermitian Product)和Pol-IHP(Polarimetric Internal Hermitian Product)等,通常利用两个子视影像进行相干来检测海面弱小船只目标.但受子视影像个数的限制,无法大幅度地提高船海对比度,进而影响了检测精度.针对该问题,本文提出了一种基于全极化SAR的广义多子视相干检测算法,首先利用子视分解方法对全极化SAR数据进行处理得到多个子视全极化影像;接着,基于广义相似性参数(Generalized Similarity Parameter,GSP)定义这些子视影像间的相关矩阵和相干算子来计算相干图;然后,利用恒虚警率(Constant False Alarm Rate,CFAR)检测方法结合统计的相干图累积分布函数进行船只目标检测.通过实验,表明利用本文算法船海对比度随着子视影像个数的增加而得到大幅提高,从而减少了弱小船只目标的漏检,显著提高了船只目标检测精度.

关键词: 全极化SAR, 多子视相干, 广义相似性, 恒虚警率, 船只目标检测

Abstract:

The traditional ship detection algorithms, such as 2L-IHP (Two Looks Internal Hermitian Product), Pol-IHP (Polarimetric Internal Hermitian Product), etc, usually utilized two sub-look images cross-correlation to decrease omitted detection for small ships.However, because they were constrained by the number of sub-look images, the previous methods could not increase ship-sea contrast to much extent, which affected the ship detection accuracy.Therefore, this paper proposes a detection algorithm based on generalized multi-sublooks correlation using polarimetric SAR (POLSAR) data.Firstly, the sub-look decomposition method is applied for POLSAR data to get multi-sublook POLSAR images.Then the correlation matrix and the coherence operator based on the generalized similarity parameter (GSP) are defined to calculate the coherence image of the multi-sublook images.Finally, the constant false alarm rate (CFAR) detection method is utilized for ship detection by the calculated cumulative distribution function (CDF) of the coherence image.The experiments prove that ship-sea contrast can be increased with the number of sublook images by the propose method, which reduces the undetected probability of the ships and also improve the ship detection accuracy significantly.

Key words: polarimetric SAR, multi-sublooks correlation, generalized similarity, constant false alarm rate, ship detection

中图分类号:

TP75

魏钜杰, 张继贤, 黄国满, 等. 一种基于全极化SAR数据广义多子视相干的海面船只目标检测方法[J]. 电子学报, 2016, 44(6): 1516-1520.

WEI Ju-jie, ZHANG Ji-xian, HUANG Guo-man, et al. A New Ship Detection Method Based on Generalized Multi-sublooks Correlation Using POLSAR Data[J]. Acta Electronica Sinica, 2016, 44(6): 1516-1520.

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一种基于全极化SAR数据广义多子视相干的海面船只目标检测方法

A New Ship Detection Method Based on Generalized Multi-sublooks Correlation Using POLSAR Data

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