Multi-computer multi-task parallel satellite remote sensing image orthorectification processing system and method

Abstract

The present invention provides a multi-machine multi-task parallel satellite remote sensing image orthorectification processing system, comprising: input and output terminals, including a satellite remote sensing image import module for batch importing satellite remote sensing image compression packages; multiple computing node terminals, respectively including resources and The task management client module dynamically collects and reports the resource usage of the corresponding computing node terminal; and the server, including the resource and task management server module, provides information for each computing node according to the resource usage reported by each resource and task management client module. The terminal dynamically allocates computing tasks; the resource and task management client module starts the assigned ortho-rectification task for the corresponding computing node terminal according to the task information assigned by the resource and task management server module, and the computing node terminal uses GDAL to directly obtain the Extract the original satellite remote sensing image and the corresponding orthorectification parameters from the satellite remote sensing image compression package corresponding to the orthorectification task for orthorectification processing.

Description

technical field [0001] The invention relates to the technical field of satellite remote sensing image processing, in particular to a multi-machine multi-task parallel satellite remote sensing image orthorectification processing system and a multi-machine multi-task satellite image batch processing system for disaster emergency applications in the absence of a large number of ultra-high performance hardware devices Orthorectification processing method. technical background [0002] my country is a country with a high frequency of disasters. Severe natural disasters have brought serious threats to people's lives and property safety, which has aroused people's great attention to disaster reduction and relief work. The rapid development of remote sensing technology provides us with a reliable means of rapid monitoring and access to disaster information. With the development of remote sensing and space information technology and the continuous improvement of sensor imaging meth...

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Problems solved by technology

On the other hand, with the improvement of spatial resolution, spectral resolution and temporal resolution, the amount of data to be processed increases sharply

Therefore, this traditional single-machine single-task processing mode is difficult to meet the high-efficiency requirements of disaster reduction and emergency response. In disaster emergency applications, the processing efficiency of traditional satellite remote sensing image orthorectification technology has gradually become a bottleneck restricting data application and disaster relief timeliness , it is urgent to develop a technology that can perform correction processing efficiently

[0004] In addition, with the continuous improvement of computer hardware performance, more and more computer hardware resources with relatively low configurations can be used by application units. The traditional single-machine single-task processing mode not only takes a long time, but also causes a large number of existing computer hardware resources. idle

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