Processing method and search method for multiple-source and multi-temporal satellite image tile data

Abstract

The invention discloses a processing method for multiple-source and multi-temporal satellite image tile data. According to the processing method, a mass tile data organization structure with the time-space characteristic and the multi-source heterogeneous characteristic can be constructed, and metadata of multi-source heterogeneous satellite data tiles can be processed. The processing method comprises the steps of: (1) inputting a plurality of pieces of satellite image data, wherein each satellite image data comprises pixel data and metadata; (2) receiving a data warehousing request; (3) storing each metadata based on an image metadata table of BeyonDB, wherein each row of record description of the image metadata table comes from the metadata of the tile data of the same satellite image, and a plurality of pieces of tile data correspond to the same satellite metadata record; and (4) processing the pixel data by adopting a transverse blocking and longitudinal layering tile structure, and storing the mass tile data after processing the mass tile data by adopting a multiple-source and multi-temporal pyramid tile data file tree structure. The invention also provides a processing system, as well as a search method and a search system based on the processing system.

Description

technical field [0001] The invention belongs to the technical field of earth observation and navigation, and in particular relates to a processing method and system for multi-source multi-temporal satellite image tile data, and retrieval of multi-source multi-temporal satellite image tile data based on the processing method method, retrieval system. Background technique [0002] With the rapid development of my country's earth observation technology, an earth observation system with space-time coordination, all-weather, and all-time has been formed, and a large amount of remote sensing image data can be obtained. Remote sensing image data is growing at a geometric rate, and has the characteristics of multiple sources, multiple types, multiple resolutions, multiple temporal states, and multiple versions, which has brought great challenges to its storage, processing, release and sharing. problems and challenges. [0003] There are two main problems in the processing of massi...

AI Technical Summary

Problems solved by technology

[0003] There are two main problems in the processing of massive remote sensing image data: First, with the massive growth of image data, what method can be used to reasonably and efficiently organize storage and process these geographically distributed data with multi-source heterogeneity, multi-temporal and multi-version Image data, to achieve unified storage organization specifications and real-time sharing and rapid release services; second, as users' demand for remote sensing image data becomes more and more extensive and demanding, how to quickly and accurately retrieve data from massive remote sensing data sources Find remote sensing image data that meets the different needs of users

Although there are many solutions for multi-temporal tile data organization and indexing, there is no effective organization and processing method for multi-source heterogeneous and multi-version image tile data

[0007] 2. Metadata other than tile data space characteristics are not effectively processed

[0008] The traditional tile organization structure can describe the spatial characteristics of tiles, but other metadata of tiles, such as tile satellite source, sensor type, product registration, imaging time and other information are not efficiently processed, let alone provide diversified space search

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