信号处理2025，Vol.41Issue(8)：1443-1454,12.DOI:10.12466/xhcl.2025.08.013
Pol-ISARSpaceTarget-1.0:极化ISAR空间目标精细识别电磁仿真数据集
Pol-ISARSpaceTarget-1.0:Polarimetric ISAR Electromagnetic Simulation Dataset for Space Target Fine Recognition
摘要
Abstract
Space targets,such as satellites,play a critical role in remote sensing mapping,meteorological monitoring,wireless communication,and reconnaissance,which serve as essential objects in space situational awareness.Polarimet-ric inverse synthetic aperture radar(ISAR)offers unique advantages for space target awareness by providing high-resolution images and polarimetric scattering information,which are sensitive to target structures.Nevertheless,chal-lenges persist due to the scarcity of publicly available real measured data for polarimetric ISAR space targets and the complexity of fine-grained component-level annotation,which remains underexplored.To address these challenges,this study introduced the Pol-ISARSpaceTarget-1.0 dataset,the first publicly available dataset for the fine recognition of po-larimetric ISAR space targets.The dataset consists of polarimetric ISAR images of six space targets,including radar sat-ellites with parabolic antennas,two radar satellites with plane antennas,a communication satellite,and an optical satel-lite.It also contains the semantic annotations of nine typical components.This study details the dataset composition,electromagnetic simulation and imaging,and annotation workflow.To validate its effectiveness,representative deep-learning object-recognition methods were adopted for comparison studies,producing benchmark results that offer valu-able references for researchers.The dataset features various kinds of space targets,comprehensive polarimetric informa-tion,and detailed component labels that provide fundamental data support for the fine classification and recognition of space targets.关键词
雷达极化/逆合成孔径雷达/空间目标/数据集/目标识别Key words
radar polarimetry/inverse synthetic aperture radar/space target/dataset/target recognition分类
信息技术与安全科学引用本文复制引用
陈思伟,李铭典,崔兴超..Pol-ISARSpaceTarget-1.0:极化ISAR空间目标精细识别电磁仿真数据集[J].信号处理,2025,41(8):1443-1454,12.基金项目
军队高层次科技创新人才工程项目 （）
国家自然科学基金(U24B20189,62122091)The Military High-level Scientific and Technological Innovation Talent Project and the National Natural Science Foundation of China(U24B20189,62122091) （U24B20189,62122091）
