Remote sensing product authenticity inspection method based on micro-service architecture

Abstract

The invention discloses a remote sensing product authenticity inspection method based on a micro-service architecture, each service module is used as an independent processing and computing unit, and the transverse or longitudinal expansion capability of each micro-service module is supported through the priority relationship between data obtained in each step in each micro-service module. According to the invention, systematic engineering of the remote sensing product authenticity inspection process is realized, and the inspection efficiency is improved; each micro-service has flexibility of transverse or longitudinal expansion, and each service can be upgraded and updated independently without depending on other services, so that developers can independently and quickly complete a service upgrading and issuing process, the isolation of system faults and resources is ensured, and the service upgrading and issuing efficiency is improved when the system is abnormal. The conditions such as memory leakage and non-closed database connection can only influence normal operation of a single micro-service and other services, so that stable operation of the authenticity inspection system is ensured, and the algorithm model supports distributed cluster operation capability.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for authenticity testing of remote sensing products based on a microservice architecture. Background technique [0002] The research on the authenticity tester of remote sensing products has received close attention and attention from relevant international organizations as early as the early stage of the development of remote sensing technology. A lot of time was spent on system calibration and authenticity verification before and after the launch of each satellite to ensure Provide users with truly credible and usable quantitative data. At present, my country's remote sensing community has also carried out research and experiments on the authenticity verification of relevant data according to application requirements. The existing manual processing of remote sensing product authenticity inspection process requires importing remote sensing image data to be inspected ...

AI Technical Summary

Problems solved by technology

The existing manual processing of remote sensing product authenticity inspection process requires importing remote sensing image data to be inspected in remote sensing image processing software, converting image types to be inspected, collecting training sample sets, importing training sample set files, and inputting specific algorithm model training to obtain authenticity inspection Accuracy results, manual processing of the authenticity inspection process of remote sensing products is cumbersome, time-consuming, and inefficient; the traditional authenticity inspection system achieves the system level, refines the authenticity inspection process, and engineers the authenticity inspection process to simplify authenticity. Proven inspection process to improve inspection efficiency

However, as the number of users increases and the volume of business increases, the performance of traditional architecture inspections decreases, and system expansion and upgrades are cumbersome, etc.

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