Space-time encoding method, space-time index and query method and device

Abstract

One or more embodiments of this specification disclose a space-time coding method, a space-time index and query method and device, which are used to realize efficient organization, management and query of massive multi-source remote sensing data. The method includes: subdividing the longitude-latitude space of the earth according to a specified subdivision method to obtain multiple grids; wherein, the numbers of grids corresponding to the longitude direction and the latitude direction are the same; Hierarchical; Integer encoding is performed on the coordinate information corresponding to each of the grids to obtain first coded values ​​corresponding to each of the grids; establishing the grids and the first encoding values ​​corresponding to each of the grids An association relationship between the encoded value and the remote sensing image data. The technical solution can use the global multi-scale grid integer coding to realize the location association with the multi-source remote sensing data, and realize the space-time index and query of the multi-source remote sensing data.

Description

technical field [0001] This specification relates to the technical field of data processing, in particular to a space-time coding method, a space-time index and query method and device. Background technique [0002] The global earth observation technology, system and capabilities are becoming more and more complete, forming a multi-means, multi-platform stereoscopic observation system, and developing new observation systems such as PNRTC (positioning, navigation, timing, remote sensing, and communication integrated space-based information service system) . In recent years, micro-satellites are in a stage of rapid development, such as the pigeon constellation has reached more than 200 satellites, and the earth observation data resources are extremely rich. At present, remote sensing data presents the characteristics of multiple sources, high spatial, temporal, spectral resolution, and global coverage, and the data volume has formed a development trend of PB and EB levels. H...

AI Technical Summary

Problems solved by technology

Based on the satellite track strip or scene mode of the space-time recording system, the location correlation between multi-source remote sensing data is poor, and different types of satellites often use their own data organization and recording methods, which makes the phenomenon of data information islands serious, resulting in the same area. Difficulties in retrieval, integration and sharing of remote sensing data reduce data usage efficiency

It can be seen that these two methods have their own advantages and disadvantages, but neither can fully meet the current needs of massive and multi-source remote sensing data organization and management.

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