Cloud server platform capable of efficiently processing and analyzing remote sensing data

Abstract

The invention discloses a cloud server platform architecture capable of efficiently processing and analyzing remote sensing data, comprising a cloud remote sensing data storage and computing center, a cloud remote sensing intermediary service platform common middleware and a lightweight cloud remote sensing information service client, wherein the cloud remote sensing data storage and computing center is used for storing and computing remote sensing data; the cloud remote sensing intermediary service platform common middleware is used for processing and analyzing the remote sensing data; and the lightweight cloud remote sensing information service client is used for configuring remote cloud computing resource, creating and managing remote sensing information service chain, user information management and access control, data and service management and map visualization. The invention provides a flexible high efficiency remote sensing image data processing and application service solution strategy with low cost and high flexibility. By exerting the advantage of cloud computing, massive remote sensing data can be rapidly processed and analyzed, and the cloud server platform can be widely applicable to fields with higher requirement on timeliness such as emergency surveying and mapping.

Description

technical field [0001] The invention relates to the technical field of large-scale parallel computing and geographic information system applications, in particular to a cloud service platform for high-efficiency remote sensing data processing and analysis. Background technique [0002] The geospatial information industry is an emerging industry with great development potential. According to estimates, the market size of this industry has reached 100 billion yuan in 2010, and the annual growth rate has also reached more than 25%. As an important data source of geospatial information, high-resolution remote sensing satellite imagery has long been an important component of the geospatial information industry for its collection, processing, data products, and information service products. With the launch and operation of various high-resolution remote sensing satellites in recent years, such as IKONOS, GeoEye-1, GeoEye-2 of the US GeoEye Company, QuickBird, WorldView-1, World...

AI Technical Summary

Problems solved by technology

For example, various remote sensing image data obtained after the Wenchuan earthquake were restricted by processing and information extraction capabilities, and it was not until four days later that more reliable disaster information was obtained, which greatly hindered the timely assessment of the disaster situation and the rapid development of disaster relief operations

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