Position information processing method, device and terminal

Abstract

The invention provides a position information processing method, device and terminal. The method comprises the following steps: acquiring geographic coordinate information of a target coordinate point corresponding to a target object; determining a preset rectangular area in which the target coordinate point is positioned; once the target coordinate point is in only one preset rectangular area, determining the geological area corresponding to the preset rectangular area as a target geological area corresponding to the target object; once the target coordinate point is in a plurality of preset rectangular areas, acquiring the boundary geological information of the geological areas corresponding to the plurality of preset rectangular areas in which the target coordinate point is positioned, and then determining the target geological area corresponding to the target object. According to the method, the rough positioning is first performed through the preset rectangular area; once the target geological area is failed to be determined by rough positioning, the existing positioning method is utilized to fine position, so as to reduce the calculation and time cost for positioning, as well as improve the positioning efficiency of the geological area in which the target object is positioned.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular, to a location information processing method, device, and terminal. Background technique [0002] With the development of modern electronic technology, the use of wireless mobile terminals such as smart phones and tablet computers is becoming more and more popular, and the performance of cameras integrated on wireless mobile terminals is improving day by day. main tool. [0003] In order to prevent the user from forgetting the location where the photo was taken when browsing photos or videos, the wireless mobile terminal can also record the latitude and longitude coordinates of the location when the photo is taken. However, in practical applications, users are more accustomed to using well-known geographical information (such as: countries, cities, neighborhoods, and scenic spots, etc.) to operate photos or videos, such as: clustering and displaying phot...

AI Technical Summary

Problems solved by technology

However, in practical applications, users are more accustomed to using well-known geographical information (such as: countries, cities, neighborhoods, and scenic spots, etc.) to operate photos or videos, such as: clustering and displaying photos, or shooting for different scenic spots automatically add labels etc. to the photos, instead of memorizing the latitude and longitude coordinates of all locations. Therefore, when users perform the above operations, they usually need to search on a map or in software or servers that contain latitude and longitude coordinates. The geographical information corresponding to the latitude and longitude coordinates is cumbersome and inconvenient, especially for users who travel frequently, a large number of pictures of different locations will be stored in the mobile terminal, and the efficiency of processing a large number of pictures of different locations according to the above search method is very low

Images