Raster data front-end visual comprehensive analysis method

Abstract

The invention discloses a raster data front-end visual comprehensive analysis method. The method comprises the steps of calculating metadata information of a multi-level overview graph of raster data;performing virtual slicing on the raster data; when a browser end requests to display the data, selecting only the corresponding sliced data to be processed and displayed according to the display level and the display range carried in the request, so the raster data processing time is effectively shortened, and the raster data processing and displaying real-time performance is improved.

Description

technical field [0001] The invention belongs to the technical field of geographic big data analysis and display, and in particular relates to a front-end visualization comprehensive analysis method of raster data. Background technique [0002] The existing remote sensing data has the characteristics of large data volume and time-consuming processing. In actual needs, it is generally not necessary to process the entire image, and in most cases it is necessary to quickly view the processing results in real time, so that the model processing parameters can be adjusted conveniently. [0003] The general processing method is mainly through desktop software such as ERDAS, PCI, ENVI, etc., all of which are full-scale processing. This processing method has three disadvantages: one is that the processing time is longer, and the processing results cannot be viewed in real time; the other is that the vector data and raster It is inconvenient to conduct comprehensive analysis of grid d...

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Problems solved by technology

[0003] The general processing method is mainly through desktop software such as ERDAS, PCI, ENVI, etc., all of which are full-scale processing. This processing method has three disadvantages: one is that the processing time is longer, and the processing results cannot be viewed in real time; the other is that the vector data and raster It is inconvenient to carry out comprehensive analysis of lattice data in these desktop software; third, it is not possible to use new computing methods such as cloud computing to speed up the processing speed by using desktop software

[0004] In addition, many business scenarios require convenient comprehensive analysis of vector and raster data, and real-time rendering of raster data is the premise of fast block-level processing. The main way to view raster data on the browser side is to publish maps Service, this method has relatively large limitations. Once the raster data is released, the rendering method cannot be changed. Using this method, the effect of data processing cannot be viewed in real time.

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