Method for picking longitude and latitude information from planning map

Abstract

The invention relates to a method for picking up longitude and latitude information and description information of a ground object from a publicly published scattered planning map picture. The basic principle of the method is that on the urban scale, it is assumed that all planning maps are Mercator projection type maps and are strictly managed by planning departments, so that the standard spatialgeographical relationship is kept, and therefore the conversion algorithm of planning place pixel coordinates, Internet map Mercator coordinates and geodetic longitude and latitude coordinates is determined. The method comprises the following basic steps: 1, establishing a proportional relation between planning place image pixel coordinates and Internet map Mercator coordinates through positioning points; 2, drawing on a planning map by using tools such as a marking tool, a circle drawing tool, a multi-fold line tool, a multi-square tool and a rectangle tool; 3, drawing a corresponding graphon an Internet map through a simultaneous display function so as to visually assist information pickup; 4, inputting corresponding description information into a drawing graph of the planning map; and5, carrying out layering and duplicate removal on the surface feature longitude and latitude and description information obtained through graphical assistance, and then storing the information in anurban planning database.

Description

Technical field: [0001] The present invention relates to the field of unstructured data conversion, and is a method of picking up valuable planning features latitude and longitude information and description information from planned map pictures publicly released by the government, so as to realize structured data storage and conversion of unstructured map pictures. Methods of Commercial Exploitation. Background technique: [0002] Big data service is a development hotspot in the development of the Internet in recent years. To do big data service, we must first determine the source of big data, collect, clean and store it, and then extract valuable data through various data mining algorithms and innovate applications. I found that the planning map webpage data published on the Internet every day is a good source of big data, but like tritium in the sea, people have not yet found an efficient way to develop it. [0003] The planning map is a practical thematic map used to re...

AI Technical Summary

Problems solved by technology

However, for a long time, people have not realized the value of these data or there is no good solution to extract structured data from unstructured pictures, thus turning a blind eye to these free big data golden treasures on the Internet

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