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面向SAR数据处理流程的溯源方法研究
引用本文:杜莹,林冰仙,周良辰,闾国年.面向SAR数据处理流程的溯源方法研究[J].武汉大学学报(信息科学版),2017,42(5):669-675.
作者姓名:杜莹  林冰仙  周良辰  闾国年
作者单位:1.南京师范大学虚拟地理环境教育部重点实验室, 江苏 南京, 210023
基金项目:国家自然科学青年基金41301415江苏省教育厅高校研究生科研创新计划KYLX_0702
摘    要: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。

关 键 词:溯源模型    数据溯源    流程溯源    SAR数据处理    空间信息处理
收稿时间:2015-03-30

Provenance Method for SAR Data Processing Flow
Affiliation:1.Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China2.College of Computer and Information Engineering, Henan University, Kaifeng 475001, China3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Abstract:Provenance technology can query the sources of Synthetic Aperture Radar (SAR) data products, assess the quality and the reliability and reproduce the production process by recording and managing the derivation history of SAR data products. A bi-graph describes the relationship between data and process in the SAR data processing flow. Hence, a Hierarchical BiGraph Provenance Model (HBPM) 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 (Provenance Data Query Language, PDQL) were designed and applied. Process reconstruction and the provenance 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 system of Jiangsu Province.
Keywords:
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