Massive remote sensing data processing method and system based on distributed architecture

A technology of massive remote sensing data and distributed architecture, applied in image data processing, electrical digital data processing, special data processing applications, etc. Build speed, improve warehousing efficiency, fast storage and retrieval effect
CN111723221APending Publication Date: 2020-09-29PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
Publication Date
2020-09-29

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Abstract

The invention relates to the technical field of massive remote sensing application services, in particular to a massive remote sensing data processing method and system based on a distributed architecture. The method comprises the following steps: S1, acquiring information required to be searched; S2, carrying out massive remote sensing image database retrieval, if a retrieved remote sensing imagefile has no associated map tile service, turning to the step S3, and otherwise, turning to the step S6; S3, constructing a remote sensing image data pyramid online, if remote sensing tile data is selected to be stored and map tile service is issued, executing the step S4, and if remote sensing tile data is selected not to be stored, executing the step S6; S4, synchronously storing the remote sensing tile data; S5, performing remote sensing tile data spatial index storage; and S6, publishing and displaying the map tile service. Through the distributed architecture, the requirements of massiveremote sensing data storage, management, visualization and data service one-stop processing in the big data era are met.
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Description

technical field

[0001] The invention relates to the technical field of massive remote sensing application services, in particular to a method and system for processing massive remote sensing data based on a distributed architecture. Background technique

[0002] With the increase of remote sensing data acquisition methods, remote sensing data gradually presents the characteristics of multi-source, multi-scale, and multi-time equalization. However, the explosive growth of data volume has led to a sharp increase in remote sensing data information that needs to be processed, resulting in scattered and disordered storage of massive remote sensing data. The emergence of problems such as insecure security and difficult data retrieval. Massive remote sensing data mainly composed of raster files cannot be quickly shared and directly used. However, the technology based on commercial software image service publishing has a low degree of automation, untimely service provision, and it i...

Claims

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