Research On Progressive Segmented Retrieval And Display Strategy About Massive Remote Sensing Image Data

At present,Satellite Remote Sensing Technique(SRST)is developing rapidly.China’s Earth Observation Remote Sensing Satellites are densely launched.The collected Satellite Remote Sensing Images(SRSI)are explosively transmitted to the ground with exponential.Only the high-resolution SRSI have reached millions or even tens of millions.Faced with such a huge amount of Remote Sensing Image Data(RSID),how to efficiently and accurately retrieve the data that meets user needs and visualize it has become an urgent problem to be solved.In view of the above problems,based on the integration of the current mainstream retrieval and display technology,this paper proposes a progressive segmentation retrieval and display strategy for RSID.To solve the problem of low retrieval efficiency of large amounts of RSID,and low visual display efficiency and low operation convenience of large area and large amounts of RSID.The main work of this paper is as follows:(1)Proposed a progressive segmentation retrieval strategy based on segmented storage of massive highresolution RSIM.For the retrieval of millions or even tens of millions of RSID based on the traditional RSID storage organization method,there are problems of low retrieval efficiency,and the unique characteristics,application fields,and real-time nature of retrieval and acquisition data,Diversity,convenience of data management,etc.,for RSIM,the image time is used as the partition field to perform a first-level range partition by month,and the sensor field is used to perform second-level list partition by type,and the data is stored in segments.According to the data segmentation field,progressively narrow the scope of data retrieval,and realize efficient retrieval of data progressive segmentation.Through experimental verification,under the condition of single time range and single sensor,this strategy improves the retrieval efficiency of RSID retrieval by about 4.5 times compared with the traditional RSID storage organization method,which fully proves the effectiveness of this strategy.(2)Proposed a progressive segmentation display strategy for the quick image of massive high-resolution RSID.Based on the combination of progressive segmentation retrieval strategy,single full coverage retrieval method and paging technology,it can improve the efficiency of single full coverage retrieval,reduce the redundancy of full coverage data in the target area,and improve the visualization flexibility of single-time full coverage data.Based on the single full-coverage retrieval technology,it can efficiently obtain highresolution,narrow-width,and large-scale RSID that meets the retrieval conditions of large-area target areas,and automatically visualizes single-phase full-coverage Remote-Sensing Images in target areas by page segment processing.Through experimental verification,although there will be a certain additional consumption when turning the page,the total time for completing the full coverage map of the target area is reduced by an average of about 11 times,and the overall effect is improved.It solves the problems of full redundancy of RSID in traditional target areas,long-time loading of remote sensing image data display interface,low efficiency of manual visualization operation,and low convenience of image visualization process.(3)Practical application of retrieval and display strategies.The Research Results of this paper are applied to the subproject of the National Civil Aerospace Pre-Research Project " Comprehensive Application of Communication,Navigation and Remote Sensing and Multi-source Data Fusion Technology"-Online Customization and Analysis System of Remote Sensing Application Data.Taking the high score series(GF-1,GF-2,GF-4)satellite RSIM as an example,the specific application process of the research results of this article in the system is introduced in detail,and the Beijing GF1 RSID is displayed on the system application effect.According to the application effect in the actual system,verified the effectiveness of the research results.The experiments and application results show that the progressive segmentation retrieval and display strategy of massive RSID proposed in this paper improves the efficiency of data retrieval and the flexibility of image data visualization processing.It has social value and practical significance for the storage management and extensive application of massive RSID in China.