Data-intensive remote sensing image processing-oriented generic programmed framework programming method

A remote sensing image processing, data-oriented technology, applied in the direction of electrical digital data processing, special data processing applications, program control devices, etc., can solve problems such as difficulties, low parallel efficiency, cumbersome programming of remote sensing data processing, etc., to achieve high parallel efficiency, The effect of overcoming high programming ability requirements and simplifying the processing of complex remote sensing data structures

Active Publication Date: 2013-04-03
CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0004] The technical problem of the present invention is: to overcome the existing data-intensive remote sensing data processing programming cumbersome, difficult, and low parallel efficiency defects, to provide a parallel programming model based on the algorithm Skeleton-oriented massive remote sensing data processing, the method will general Introduce type programming into the parallel

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  • Data-intensive remote sensing image processing-oriented generic programmed framework programming method
  • Data-intensive remote sensing image processing-oriented generic programmed framework programming method
  • Data-intensive remote sensing image processing-oriented generic programmed framework programming method

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Embodiment Construction

[0027] A framework programming method for generic programming oriented to data-intensive remote sensing image processing described in an embodiment of the present invention includes the following steps:

[0028] 1) On the basis of the calculation characteristics of the remote sensing data processing algorithm and the analysis of the parallel algorithm framework, the recurring public parallel computing mode is modeled, and the parallel algorithm Skeleton for massive remote sensing data processing is abstracted. Extract and abstract the public parallel algorithm framework Skeleton during the solution process;

[0029] 2) According to the characteristics of multi-band image data structure (three-dimensional matrix), complex geographic information data structure and large data scale of remote sensing image data, develop distributed remote sensing image data model RSData Templates;

[0030] 3) Based on the distributed remote sensing image data model RSData Templates, further propos...

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Abstract

The invention relates to a data-intensive remote sensing image processing-oriented generic programmed framework programming method. The technical scheme comprises the following steps of 1, according to characteristics of large mass, complex data structure and the like of sensing image data, building a distributed remote sensing image model; 2, on the basis of remote data parallel processing algorithm analysis, modeling and abstracting a public computing mode which repeatedly appears, and building remote a sensing data processing algorithm-oriented parallel algorithm; and 3, packaging the parallel algorithm through a template mechanism to realize a generic programmed algorithm model. The method has the beneficial effects that a parallel programming mode is provided by remote sensing application algorithm, so that the parallel programming difficulty of a large amount of sensing data processing applications can be effectively reduced, the defect that the requirement on the programming ability of a domain expert in the traditional remote data processing is high is overcome, and wide application of parallel computing technology to large area even global massive remote data processing of global change, dynamic disaster monitoring and the like is greatly promoted.

Description

technical field [0001] The invention relates to the field of remote sensing data processing, in particular to a framework programming method for generic programming oriented to data-intensive remote sensing image processing. Background technique [0002] With the rapid development of remote sensing technology, remote sensing image data is growing at a rate of terabytes per day. How to process massive data in real time, quickly and efficiently is an important challenge in the current application of remote sensing data. The rapid development of high-performance parallel computing technology based on distributed parallel clusters provides an important technical means for data-intensive remote sensing image processing. At present, the multi-core cluster system is gradually becoming the mainstream of parallel computing. This hybrid parallel system has a complex multi-layer parallel structure and an increasingly large system scale. Its parallel program development has multi-level...

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Application Information

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IPC IPC(8): G06F9/44G06F17/30
Inventor 马艳王力哲刘定生刘鹏
Owner CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
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