面向SAR数据处理流程的溯源方法研究

Provenance Method for SAR Data Processing Flow

为了方便查询合成孔径雷达(synthetic aperture radar,SAR)数据产品的来源,评估其质量和可靠性,再现其产生过程,使用溯源技术记录其衍生过程并管理其处理流程。分析SAR数据处理流程的特点,提出了基于分层二部图的溯源模型(hierarchical bigraph provenance model,HBPM),设计了基于HBPM的溯源仓库及检索语言(provenance data query language,PDQL),并实现了流程再现、溯源信息可视化等应用。在江苏省地面沉降监测系统中,通过一个SAR数据处理流程溯源的案例——用基于SAR技术的短基线(small baselines subset,SBAS)方式检测地面沉降情况,验证该溯源方法的可行性。

Provenance technology can query the sources of Synthetic Aperture Radar （SAR） data prod- ucts, assess the quality and the reliability and reproduce the production process by recording and man- aging the derivation history of SAR data products. A hi-graph describes the relationship between data and process in the SAR data processing flow. Hence, a Hierarchical BiGraph Provenance Model （HB- PM） is proposed in this paper that combines the characteristics of the SAR data processing flow with a bi-graph. Based on the HBPM, the provenance repository and the retrieval language PDQL （Prove- nance Data Query Language,PDQL） were designed and applied. Process reconstruction and the prove- nance information visualization were also implemented. The feasibility of the proposed method was verified through a case study on provenance of SAR Data Processing Flow using Small Baselines Subset （SBAS） technology to monitor surface deformation in the surface subsidence montitoring sys- tem of Jiangsu Province.