SAR图像干扰检测与抑制数据集

数据主编：杨会章; 郎平; 殷君君; 陆星宇 随着全球电磁频谱资源的日趋拥挤，以及在部分区域复杂的电磁对抗环境下，合成孔径雷达（synthetic aperture radar, SAR）系统面临的干扰问题日益严峻。此类干扰通常在SAR图像中表现为条带状或块状伪影，严重劣化图像质量，对SAR遥感应用构成显著威胁。SAR干扰抑制技术在20世纪90年代已引起学界的关注，并在此后逐步发展成为该领域的研究热点之一。近十多年以来，随着全球SAR卫星的快速发展（以欧洲空间局C波段Sentinel-1系列卫星为代表），海量观测数据中暴露出更为复杂多样的干扰现象，推动该领域研究进入新阶段，并涌现出诸多创新性处理方法。编者团队近年来在SAR图像域的干扰特征建模与解译分析、干扰检测与抑制等方面开展了一定研究，从十多万幅Sentinel-1数据中筛选出一系列典型的含干扰单视复图像数据，构建了本数据集，覆盖了多种干扰类型与参数。本数据集旨在为SAR信号处理领域的研究人员与工程技术人员提供一个可靠的数据基准，助力SAR干扰的特征分析、检测与抑制技术的发展、验证与评估。另外，本数据集包含的干扰类型较为全面，可用为研究典型干扰条件下的信息提取（例如目标检测、识别、分类等）提供可靠的数据素材和实际参考。 详细使用说明请参考：SIDS数据集使用说明.pdf

Editors: Yang Huizhang, Lang Ping, Yin Junjun, Lu Xingyu. With the growing congestion of global electromagnetic spectrum resources and complex electromagnetic warfare environments in some regions, synthetic aperture radar (SAR) systems are facing increasingly severe interference issues. Such interference typically manifests as strip-shaped or block-shaped artifacts in SAR images, severely degrading image quality and posing a significant threat to SAR remote sensing applications. SAR interference suppression techniques have attracted academic attention since the 1990s, and have gradually evolved into one of the core research hotspots in this field. In the past decade or so, with the rapid development of global SAR satellites (represented by the European Space Agency's C-band Sentinel-1 series satellites), massive amounts of observation data have uncovered more complex and diverse interference phenomena, pushing research in this field into a new stage and giving rise to numerous innovative processing methods. In recent years, the editorial team has carried out relevant research on interference feature modeling and interpretation analysis, interference detection and suppression in the SAR image domain. We have screened a series of typical single-look complex image data with interference from over 100,000 Sentinel-1 datasets, and constructed this dataset, which covers multiple interference types and parameters. This dataset aims to provide a reliable data benchmark for researchers and engineering technicians in the field of SAR signal processing, to facilitate the development, verification and evaluation of SAR interference feature analysis, detection and suppression technologies. Additionally, the dataset includes comprehensive interference types, which can serve as reliable data materials and practical references for research on information extraction under typical interference conditions (such as target detection, recognition, classification, etc.). For detailed usage instructions, please refer to: SIDS Dataset Usage Instructions.pdf