现代雷达2025，Vol.47Issue(11)：46-51,6.DOI:10.16592/j.cnki.1004-7859.2025062902
基于加权GOP CE方法的极化SAR图像舰船检测
Ship Detection from Polarimetric SAR Images Based on Weighted GOPCE Method
摘要
Abstract
Polarimetric synthetic aperture radar(SAR)image ship detection is regarded as one of the core applications of polarime-tric SAR systems,and possesses important research significance and application prospects.Compared with optical images,polari-metric SAR images are usually featured with lower contrast and resolution;therefore,contrast enhancement methods are required to increase the contrast between targets and background.In this paper,a polarimetric SAR image fusion method based on the general-ized optimization of polarimetric contrast enhancement model is proposed.The improved model is composed of the product of two factors.The first factor is represented by the received radar power in the optimal polarization state;the second factor is given by the fusion result of three polarimetric parameters(polarimetric entropy,single-reflection similarity parameter,double-reflection simi-larity parameter).During parameter optimization,greater weights are assigned to weak targets and high-noise backgrounds,so that further enhancement of the contrast between weak targets and high-noise environments is achieved,thus improving the target detec-tion performance effectively.Experimental results show that the proposed method is superior to the existing methods in terms of de-tection accuracy.关键词
极化合成孔径雷达/舰船检测/最优极化对比增强/图像融合/极化参数Key words
polarimetric synthetic aperture radar(SAR)/ship detection/optimization of polarimetric contrast enhancement(OPCE)/image fusion/polarimetric parameters分类
信息技术与安全科学引用本文复制引用
薛钧藩,殷君君,杨健..基于加权GOP CE方法的极化SAR图像舰船检测[J].现代雷达,2025,47(11):46-51,6.基金项目
国家重点研发计划资助项目(2024YFB3909800) （2024YFB3909800）
国家自然科学基金资助项目(62222102,62171023) （62222102,62171023）
中央高校基本科研业务费资助项目(FRF-TP-22-005C1) （FRF-TP-22-005C1）
