Research On A Provenance-based Quality Analysis Method For Optical Remote Sensing Data Production Process

The quality of satellite data products directly affects the potential for Earth observation by remote sensing satellites.During the satellite in-orbit service,the working efficiency of the on-board payloads may vary due to various internal and external factors,resulting in various quality problems of satellite data.Therefore,it is vital to detect the quality problems of the image data timely and accurately,so as to carry out effective quality control.At present,the analysis methods of the remote sensing data production center on the causes of product quality problems are isolated and blind,relying on manual inspection of massive documents.The efficiency of discovering the cause of the quality problems in these centers can hardly meet requirements.Data provenance plays an important role in tracking,updating and reliability evaluation of data products.Data provenance,also called data lineage,records the history of data product generation.The provenance information records the original data of the resulting product and all its evolution processing,which is widely used in information traceability and quality assessment.Leveraging data provenance to establish the traceability of remote sensing data products,connect the production process,and support the traceability analysis of data quality problems,has great application prospects.Based on the above background,this article carries out research on a data provenance-based quality analysis method for optical remote sensing data production process,realizing the application of data provenance in remote sensing quality tracing and analysis.The main contents are as follows:(1)Based on the classification system of optical satellite remote sensing products and the complete production process of each level,proposed a data provenance-based production process tracing method for optical remote sensing data.At first,this article abstracts the production chain of remote sensing products into a directed graph,dividing it into data nodes and processing nodes.Then,based on the traceability analysis scenario of remote sensing product quality problems,all the attributes of data,processing,algorithm as well as quality indicators nodes in the production process are elaborated.The query method of remote sensing product provenance information is exquisitely designed based on the construction of node relationship,which can help to improve the traceability efficiency of optical remote sensing product production process.(2)Designed a data provenance-based quality analysis method for optical remote sensing data production process.At first,the quality inspection scheme in the production of optical remote sensing data was analyzed.Then,the provenance query of the production information of optical remote sensing products was carried out leveraging on the provenance information query language.Finally,the experiment of traceability analysis of optical remote sensing product geometric and radiometric quality leveraging quality indicators shows that the method can improve the efficiency of discovering changes in satellite payload imaging performance.(3)Developed an optical remote sensing product quality traceability analysis system.The system interacts with the remote sensing data production system to record and serve proveance information,detecting various remote sensing data by embedding the quality inspection algorithm.Through the inspection of various quality indicators and the traceability analysis of product quality problems,the system has provided effective information service support for the tracking remote sensing product quality problems.