摘要
与全极化相比,简缩极化合成孔径雷达(SAR)因其更宽的幅宽,在海洋监视方面具有先天的优势。针对海上舰船目标检测,提出一种基于加权支持向量机(SVM)和m-χ分解的简缩极化SAR图像舰船检测方法。该方法首先对简缩极化的极化参数进行提取,构造加权特征向量,然后基于加权SVM分类器对简缩极化SAR图像舰船目标进行检测,最后利用m-χ分解后3个分量对应不同散射机制的差异进行虚警去除。基于NASA/JPL AIRSAR机载以及Radarsat-2星载全极化实测数据模拟的圆极化发射线极化接收(CTLR)模式的简缩极化数据实验结果表明,该方法能在舰船目标检测的同时,有效去除虚警和模糊噪声。
Compact polarimetric Synthetic Aperture Radar(SAR) has a congenital advantage in marinesurveillance over full polarimetric SAR for its wider swath. A new ship detection method on compactpolarimetric SAR image based on weighted Support Vector Machine(SVM) and m -χ decomposition isproposed. Firstly, the proposed method constructs the weighted feature vectors by extracting the compactpolarimetric parameters. Then, the ship targets in compact polarimetric SAR image are detected by theweighted SVM classifier. Finally, the false alarms are wiped off according to scattering mechanism strengthdifferences corresponding to the three components of m -χ decomposition. The NASA/JPL AIRSAR airbornefull polarimetric data and the Radarsat-2 satellite-borne full polarimetric data are used to simulate thecompact polarimetric data in the Circular Transmit-Linear Receive(CTLR) mode, and the experimentalresults show that the method performs well in detecting ship targets, and can remove the false alarms andambiguities effectively.
作者
王海波
赵妍琛
王涵宁
吴永辉
计科峰
WANG Haibo;ZHAO Yanchen;WANG Hanning;WU Yonghui;JI Kefeng(College of Electronic Science and Engineering, National University of Defense Technology,Changsha Hunan 410073,China;Xi’an Aerospace Propulsion Institute,Xi’an Shaanxi 710100,China;Air Force Early Warning Academy,Wuhan Hubei 430019,China)
出处
《太赫兹科学与电子信息学报》
2016年第4期554-561,共8页
Journal of Terahertz Science and Electronic Information Technology
基金
国家自然科学基金资助项目(61372163
61331015)
关键词
简缩极化SAR
m-χ分解
支持向量机
舰船检测
compact polarimetric SAR
m -χ decomposition
Support Vector Machine
ship detection