Intelligent method of path optimal selection for parallel processing of remote sensing images based on data segmentation
A remote sensing image, parallel processing technology, applied in the field of remote sensing and geographic information systems, can solve problems such as increasing the amount of information, and achieve the effect of satisfying time-consuming, simple and practical principles
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[0072] Using C# language programming to realize the path optimal selection intelligent method of remote sensing image parallel processing based on data segmentation, using 10 computing nodes, for a coastal image data (format: TIF; data volume 197.8M; size 7129×7151; pixel depth 8bit) for processing, construct 8, 10, 12-layer quadtree pyramids, and record the total time. After processing, read the MFlag value and find that the MFlag value is false, that is to say, the computer automatically adopts the parallel strategy of compressing first and then splitting, and then forcefully sets the MFlag value to true, forcing the computer to adopt the parallel strategy of splitting first and then compressing, and build 8, 10, 12 layers of quadtree pyramid, record the total time. Then request compression and segmentation operations respectively, and the computing nodes in the cloud use the ENVI / IDL algorithm to perform compression (compress a piece of image data according to the compressi...
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