Image processing method and system, and ground station

Abstract

The embodiment of the invention provides an image processing method and system, and a ground station. The method is applied to a system comprising an unmanned aerial vehicle base station, an image collection device and a ground station, wherein the unmanned aerial vehicle base station and the image collection device are arranged on an unmanned aerial vehicle; the method comprises the following steps: the unmanned aerial vehicle base station sends related information of a first terminal within the coverage to the ground station; the unmanned aerial vehicle base station acquires a specified image; the ground station acquires a target image related to the first terminal from the image collection device; and the ground station displays the target image. By adoption of the technical scheme provided by the embodiment of the invention, the trapped personnel can be quickly positioned to a certain extent.

Description

【Technical field】 [0001] The present invention relates to the communication field, in particular to an image processing method and system, and a ground station. 【Background technique】 [0002] When disasters such as earthquakes and landslides occur, or during outdoor adventure activities, there will often be emergencies in which people are trapped and unable to communicate with the outside world. When the trapped people cannot get in touch with the outside world, rescuers need to quickly locate the trapped people, so as to rescue the trapped people, otherwise the life safety of the trapped people will be greatly threatened. [0003] The traditional search and rescue method often adopts the mode of manual search and rescue, which needs to rely on a large number of rescuers, and adopts the method of dragging nets to check. At the same time, telescopes, life detectors, search and rescue dogs and other tools can be used to find and locate trapped persons. In recent years, with ...

AI Technical Summary

Problems solved by technology

[0004] However, for the existing manual search and rescue scheme, the efficiency of search and rescue is low, the time required is long, and a large amount of manpower and material resources are consumed. rescue

For drone-assisted search and rescue solutions, the accuracy of search and rescue is often affected by the angle of view of the camera. If the angle of view of the trapped person is blocked, or if the ground monitoring personnel misses the trapped person captured by the camera, it will affect the accuracy of the search and rescue. Rapid rescue of trapped persons

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