Generalized cloud control space-time spectrum large database and remote sensing image processing method

Abstract

The invention discloses a generalized cloud control spatio-temporal spectrum big database and a remote sensing image processing method.The method comprises the steps: firstly, collecting spatio-temporal data on the basis of generalized cloud photogrammetry and remote sensing control big data, and then establishing spatio-temporal indexes of mass multi-source heterogeneous cloud control data on the basis of a spatio-temporal cube model; establishing a distributed storage mechanism of cloud control data based on the tile data model; establishing index query of time, space and attributes based on a binary retrieval method; according to the method, high-performance automatic access and index query of mass heterogeneous multi-source spatio-temporal data are realized, intelligent analysis of multi-modal and multi-dimensional remote sensing data is realized, and multi-source accurate control data are provided for geometric correction, radiation correction, synchronous correction, object-oriented remote sensing image classification, change detection and the like, the method meets the intelligent data processing requirements of generalized cloud-controlled photogrammetry and remote sensing in the era of big data cloud computing, is applied to the field of remote sensing image processing, and builds a bridge between a space-time spectrum database and remote sensing intelligent processing and recognition.

Description

technical field [0001] The invention belongs to the technical field of GIS spatio-temporal databases, and in particular relates to the establishment of a generalized cloud-controlled spatio-temporal spectrum database and its application in remote sensing. Background technique [0002] The explosive growth of spatio-temporal spectrum big data has brought opportunities for the development of generalized cloud control. Therefore, the high-speed access and application of massive generalized cloud control data has become a hot issue that needs to be solved urgently. However, the current generalized cloud-controlled data access still has the following problems: [0003] (1) Data source: In the generalized cloud-controlled photogrammetry technology in the era of big data cloud computing, there are many types of cloud-controlled data sources and rich information. The completion of geometric correction and radiation correction requires the spatio-temporal attribute information of mul...

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Problems solved by technology

[0003] (1) Data source: In the generalized cloud-controlled photogrammetry technology in the era of big data cloud computing, there are many types of cloud-controlled data sources and rich information. The completion of geometric correction and radiation correction requires the spatio-temporal attribute information of multi-source data, which cannot be achieved by conventional databases. Efficiently complete the access and indexing of massive cloud-controlled data;

[0004] (2) Traditional data storage technology: Traditional cloud-controlled data storage chooses relational databases such as Oracle and PostGIS for storage, but the relational data model does not support saving spatiotemporal data, and is not flexible enough to store multi-source heterogeneous spatiotemporal data; in addition, relational databases Low access efficiency, poor reading and writing capabilities for high-concurrency multi-source data;

[0005] (3) Data storage under the background of cloud computing: databases based on cloud computing mostly use a non-relational data storage method based on a key-value model design. Although this storage method can solve the storage problem of massive data, the correlation of spatiotemporal data is not strong , cannot realize the access of three-dimensional cloud control data with time, space and attribute information under high concurrency conditions;

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