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Static tile pyramid parallel building method based on MapReduce

A technology of tile pyramid and construction method, which is applied in electrical digital data processing, image data processing, special data processing applications, etc., can solve the problem of low resolution, centralized processing mode, which is difficult to meet the requirements of remote sensing image processing, large amount of calculation, etc. question

Inactive Publication Date: 2015-05-27
PLA AIR FORCE AVIATION UNIVERSITY
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AI Technical Summary

Problems solved by technology

Since resampling is required to generate low-resolution upper-level images when building tile pyramids, the calculation is heavy and time-consuming
With the sharp increase in the amount of remote sensing image data, the centralized processing mode has been difficult to meet the processing requirements of current remote sensing images

Method used

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  • Static tile pyramid parallel building method based on MapReduce
  • Static tile pyramid parallel building method based on MapReduce
  • Static tile pyramid parallel building method based on MapReduce

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Embodiment Construction

[0035] The Global Tile Pyramid Model (GTPM) of the present invention is a double-tower quadtree structure, and the image data adopts Plate Carree projection. The east and west tiles of the first layer are the root nodes of two quadtrees, and then each tile is divided into four equal parts to get the next layer of tiles, thus obtaining a double-tower quadtree structure. The tile size is set to 256 pixels × 256 pixels, the top layer of the pyramid is the first layer, and the number of row and column tiles is 1 × 2.

[0036] the first Level The number of tile ranks and Level The relationship is: .

[0037] The tiles below the first layer are all divided equally by the parent tile of the previous layer 2×2, so the resolution is half of the tile of the previous layer. The number of tiles and spatial resolution of each layer are shown in Table 3.2.

[0038] Table 3.2 Corresponding resolution of each layer of GTPM

[0039] level Rows Number of columns Resoluti...

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Abstract

The invention provides a static tile pyramid parallel building method based on MapReduce, and belongs to the technical field of remote sensing image processing. The static tile pyramid parallel building method based on the MapReduce aims at fast performing batch remote sensing image parallel processing on the basis of a parallel calculation model of the MapReduce by aiming at the features of remote sensing images. The method is completed by four steps including Map tile processing, creation of Lmax layers of tiles, tile image generation and Reduce tile merging. The invention provides the improved static tile pyramid parallel building method based on the MapReduce, and the combination of fast parallel building of batch remote sensing image tile pyramid and tile pyramid large file generation is realized. Through structures of tile pyramid large files and HBase tile index tables, a fast retrieval model of global tile images is built.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing. Background technique [0002] The longitude-latitude subdivision grid model is a multi-level grid recursively divided according to the fixed interval of longitude and latitude, which has the advantages of simplicity, quickness and practicality. The traditional longitude-latitude subdivision grid model is mainly used to roughly express the spatial position of the earth's surface. Generally, the requirements for longitude are not high, and the division levels of the grid are not many. Typical subdivision grid models include NGA's World Geographic Reference System (World Geographic Reference System, Georef) and Global Area Reference System (Globe Area Reference System, GARS). The above subdivision grid models come from different application backgrounds, basically based on the latitude and longitude coordinate system, the subdivision levels are generally 3~4 layers, and each ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06T1/00
Inventor 全吉成吴晨刘宇王宏伟杨明权白新伟李明
Owner PLA AIR FORCE AVIATION UNIVERSITY
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