Massive topographic data organization and release method

Abstract

The invention discloses a massive topographic data organization and release method, and relates to the technical field of processing and application of geographic information. The massive topographic data organization and release method is characterized by comprising the following steps of reading topographic data, unifying topographic data coordinates, selecting a topographic data range, establishing index information, resampling the topographic data, fusing the topographic data and releasing the topographic data, which form a complete process. The massive topographic data organization and release method has the superiority that the technical problems that organization structure construction of the massive topographic data can be convenient for updating, rapid retrieval and acquisition of the data and the like can be simultaneously solved. Meanwhile, images can be compressed, edge-matched and fused, a storage space is reduced, access efficiency is improved, and the massive topographic data organization and release method is convenient for updating and maintenance; the massive topographic data can be subjected to multi-platform data release and sharing; and safe, reliable, accurate and efficient data support is provided for deep application in different industries.

Description

technical field [0001] The present invention relates to the technical field of geographic information processing and application, in particular to a management based on geographic information data, image compression, edge joining and fusion, reducing storage space, improving access efficiency, facilitating update and maintenance, efficient organization of massive terrain data, A method of organizing and releasing massive terrain data for management and release. Background technique [0002] Geographic Information System (Geographic Information System or Geo-Information system, GIS) is sometimes called "geoscience information technology" or "resource and environmental information technology". It is a specific and very important spatial information technology. It is a technical method to collect, store, manage, calculate, analyze, display and describe the relevant geographical distribution data in the space of the whole or part of the earth's surface (including the atmosphere...

AI Technical Summary

Problems solved by technology

[0006] 1), multi-layer DOM resampling and image fusion problems:

Whether it is adding a point or removing a point, it is necessary to traverse the entire terrain and re-triangulate the relevant blocks, which loses the independence of the blocks, increases the pressure on the cache, and increases the complexity of the problem, which in turn affects to efficiency

[0011] 3) The problem of fast storage of block data:

[0013] 4), Custom clipping area and incremental release issues:

[0014] Custom clipping area means that when publishing terrain data, sometimes only the area of ​​interest (rectangular or polygonal) needs to be processed and published to the database. How to solve the grading and block processing of local irregular images is a relatively cumbersome matter

[0015] However, domestic related data release systems are relatively inefficient in processing massive terrain data with multiple scales and resolutions, and data requests from multiple users. There are deficiencies in the flexibility, versatility, and portability of the system, which cannot meet the needs of users. Basic needs, not to mention the satisfaction of the need for incremental release of data

[0016] At present, there is no perfect method that can simultaneously solve technical problems such as convenient data update and fast retrieval and acquisition based on the organization structure of massive terrain data; at the same time, image compression, edge joining and fusion can be performed to reduce storage space and improve access efficiency , easy to update and maintain, enabling massive terrain data to be released and shared on multiple platforms; providing safe, reliable, accurate and efficient data support for in-depth applications in different industries

Images