摘要
海上目标检测识别技术发展需要大量高质量的海上目标多传感器实测数据。针对这一需求,“雷达对海探测数据共享计划(SDRDSP)”升级为“海上目标数据共享计划(MTDSP)”,利用HH极化雷达、VV极化雷达、光电设备、AIS设备开展海上船只目标多源观测试验,获取雷达中频/视频回波切片数据、可见光与红外图像数据、AIS静态与动态报文数据、气象水文数据,覆盖典型海况和多种船型,构建涵盖多种类型海上目标的多源观测数据集,完成同一目标多种模态数据的匹配和标注,并实现目标数据的自动入库管理、条件检索和批量导出,为海上目标特性数据自动获取、长期积累与使用奠定基础。在此基础上,基于实测数据对比分析了不同海况、姿态、极化条件下同一船只目标的时域/频域特征、不同类型船只目标的时域/频域特征,形成了目标特征变化的统计结论。
Maritime target detection and identification technology are developed using large-scale,high-quality multi-sensor measurement data.Therefore,the Sea Detection Radar Data Sharing Program(SDRDSP)was upgraded to the Maritime Target Data Sharing Program(MTDSP),integrating multiple observation modalities,such as HH-polarized radar,VV-polarized radar,electro-optical devices,and Automatic Identification System(AIS)equipment to conduct multisource observation experiments on maritime vessel targets.The program collects various data types,including radar intermediate frequency/video echo slice data,visible and infrared imagery,AIS static and dynamic messages,and meteorological and hydrological data,covering representative sea conditions and multiple vessel types.A comprehensive multisource observation dataset was constructed,enabling the matching and annotation of multimodal data for the same target.Moreover,an automated data management system was implemented to support data storage,conditional retrieval,and batch export,providing a solid foundation for the automated acquisition,long-term accumulation,and efficient use of maritime target characteristic data.Based on this system and measured data,the time/frequency domain features of the same and different vessel targets under different sea states,attitudes,polarization conditions are compared and analyzed,and the statistical conclusion of the change in target features is obtained.
作者
刘宁波
李佳
王国庆
陈宝欣
曹政
董云龙
关键
姜星宇
张子豪
薛伟
LIU Ningbo;LI Jia;WANG Guoqing;CHEN Baoxin;CAO Zheng;DONG Yunlong;GUAN Jian;JIANG Xingyu;ZHANG Zihao;XUE Wei(Naval Aviation University,Yantai 264001,China;Harbin Engineering University Yantai Research Institute,Yantai 264001,China)
出处
《雷达学报(中英文)》
北大核心
2025年第3期754-780,共27页
Journal of Radars
基金
国家自然科学基金(62388102,62101583)
泰山学者工程(tsqn202211246)。
关键词
对海探测试验
海上目标特性
多源观测
目标特征
数据共享
Sea-detecting experiment
Maritime target feature
Multisource observation
Target feature
Data sharing
