Real-time image transmission system and method for unmanned aerial platform

Abstract

The present invention relates to a real-time image transmission system for an unmanned aerial platform, comprising: a picture division device, which is set on the unmanned aerial platform, and is used to receive high-definition aerial images, and divide the high-definition aerial images into multiple 50×50 pixel images. Pixel block; the pixel block selection device is set on the unmanned aerial platform, and is used to draw the Archimedes curve in the high-definition aerial image with the central pixel point of the high-definition aerial image as the starting point, which will be described in the In the high-definition aerial image, the pixel blocks passed by the Archimedes curve are used as error-checking pixel blocks to obtain a plurality of error-checking pixel blocks; the picture analysis equipment is set on the unmanned aerial platform for each error-checking The pixel blocks perform picture analysis processing. The invention also relates to a real-time image transmission method of an unmanned aerial platform. Through the present invention, the number of windows of a target building can be accurately obtained in real time, and valuable reference data can be provided for subsequent construction of adjacent buildings that have not been started.

Description

technical field [0001] The invention relates to the field of real-time image transmission, in particular to a real-time image transmission system and method for an unmanned aerial platform. Background technique [0002] With the development of aerial photography technology, unmanned aerial vehicles, especially quadcopters, have been developed and applied considerably. In a professional environment, this kind of aerial reconnaissance takes a long time to find a view, has high requirements for shooting, and is operated by a professional operator. Therefore, it is generally used to shoot repeatedly, and then edit and splice in the later stage to obtain the best presentation effect that users can enjoy. Way. Therefore, in a professional environment, those skilled in the art are concerned about the improvement of shooting effects, such as: anti-shake, stabilization, etc. [0003] Most of the existing video image returns are based on analog video signals, and the images are not ...

AI Technical Summary

Problems solved by technology

However, the current research on 3D reconstruction of UAV sequence images is still in its infancy, and there are mainly the following problems: (1) Compared with ground images, 3D reconstruction based on UAV sequence images is generally a 3D reconstruction of a large amount of data and a large scene; (2) Most of the mature algorithms in computer vision are directly applied to the 3D reconstruction of UAV sequence images; (3) The auxiliary information with low precision is not fully utilized

[0004] However, these prior art calculations are too large, especially the calculations in three-dimensional image processing often lead to excessive power consumption in the image processing and data transmission of the aircraft

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