摘要
Marino于2012年提出了一种极化凹口滤波器(polarimetric notch filter,PNF)[1],引起了业界内的广泛关注,但至今尚未查询到公开文献将其与极化合成孔径雷达(polarimetric synthetic aperture radar,PolSAR)图像目标恒虚警率(constant false alarm rate,CFAR)检测领域内著名的极化白化滤波器(polarimetric whitening filter,PWF)进行比较.文章推导了G0-Wishart分布下PWF输出像素强度的概率密度函数(probability density functions,PDF)和虚警概率(probability of false alarm,PFA),进而给出了检测门限的解析表达式.最后利用仿真数据和来自AIRSAR的实测数据对PNF与PWF的性能进行了比较,结果表明一般情况下PWF的整体检测效能优于PNF,而PNF对不同统计模型的适应性优于PWF,在高海况情形下的检测性能比PWF要好.研究结果对极化SAR图像CFAR检测方法的选择具有理论指导意义.
A new ship detector known as the polarimetric notch filter(PNF)was developed in 2012 by Marino[1].No open literatures are found to compare the PNF with the classic polarimetric whitening filter(PWF).The probability density functions(PDF),the probability of false alarm(PFA)and the thresholds of the PWF detector are derived in closed forms in the inverse gamma-distributed textural product model case(G0-Wishart).The detection performances of the PNF are compared with those of the classic PWF via simulated data and real data from AIRSAR in Wishart case and G0-Wishart case.The results show that the performance of the PWF in ship detection is better than that of the PNF in most cases,while the adaptability of PNF is better than that of the PWF in high sea state case.
作者
杨子渊
唐涛
蒋燕妮
刘涛
YANG Ziyuan;TANG Tao;JIANG Yanni;LIU Tao(School of Electronic Engineering,Naval University of Engineering,Wuhan 430000,China)
出处
《电波科学学报》
EI
CSCD
北大核心
2019年第6期778-788,共11页
Chinese Journal of Radio Science
基金
国家自然科学基金(No.61771483)
