Method for quickly establishing massive 3S (remote sensing, global positioning system and geographic information system) data tiles by aid of parallel technologies

Abstract

The invention discloses a method for quickly establishing massive 3S (remote sensing, global positioning system and geographic information system) data tiles by the aid of parallel technologies. The method includes placing all to-be-sliced task grid units in an FIFO (first in, first out) queue q; simultaneously starting threads thread 1, threads thread 2, threads thread 3,... and threads thread nto carry out parallel slicing from main work threads mainWorkThread according to input parameters; notifying UI (user interface) threads that slicing is completely carried out when the queue q is empty, in other words, tasks are accomplished by all the threads, and the threads exit. Each task grid unit contains levels unit_level and ranges unit_geometry which correspond to the unit. The fact thatall the slicing tasks are accomplished by the main work threads mainWorkThread is indicated when the queue q is empty. The method has the advantages that customized, stable, low-cost and efficient solution for specially pertinently slicing massive geographic data can be implemented by the aid of research task division, parallel slicing and interrupt recovery technologies and the like, and accordingly the method has a popularization and application value.

Description

Technical field [0001] The invention relates to a solution for slicing massive geographic data, in particular to a method for rapidly constructing massive 3S data tiles using parallel technology. Background technique [0002] With the popularity of Google Maps, various electronic map services on the Internet have been widely used. Among them, the tile pyramid, as the data foundation of this application, plays an important role in its promotion. The rapid and effective conversion of massive amounts of traditional 4D data into pyramid tiles has become the core problem to be solved in the construction of map services. In the prior art, the first solution is to develop a slicing tool based on GIS components, but is subject to its picture rendering (Render, which binds data and symbols through computer graphics and image technology, and draws, prints, converts, etc.) Output to computer screens, files, etc., in order to achieve the limitation of geographic data visualization), cannot ...

AI Technical Summary

Problems solved by technology

In the prior art, the first solution is to develop a slicing tool based on GIS components, but it is limited by its image rendering (Render, which binds data and symbols through computer graphics and image technology, and through drawing, printing, conversion, etc., output to computer screens, files, etc., in order to achieve the purpose of geographic data visualization), cannot bear the slice of massive data volume, the speed is slow, and can only be used as a supplement for small-scale tile updates

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