Automatic checking method for aerial data of mini unmanned air vehicle

Abstract

The present invention discloses an automatic checking method for aerial data of a mini unmanned air vehicle. The method comprises the following steps of: A. displaying a flying track and an image according to image and POS information; B. performing automatic quality control analysis according to displaying of the flying track and image; and C. outputting a quality control report according to a quality control analysis result. According to the automatic checking method for aerial data of a mini unmanned air vehicle, due to adoption of automated software specially used for field check and evaluation of flight quality, a flight quality report can be obtained rapidly, and the efficiency and reliability of data checking procedure of the unmanned air vehicle are improved; one-key operation can finish quality check of aerial survey data, and aerial survey experts are not needed and the operation can be acquired through simple training, thereby lowering operation difficulty; a professional quality control report of the unmanned air vehicle is provided, and the result and an index statistic file are output in a graphical manner, thereby offering reliable basis for flight quality evaluation; and a friendly interaction interface is provided to display multiple information like image exposure points, footprint diagrams, posture overrun, image connection strength and so on, thereby being convenient for users to check data quality from multiple perspectives.

Description

technical field [0001] The invention relates to a quality inspection method for aerial photography data of an unmanned aerial vehicle, in particular to an automatic inspection method for aerial photography data of a micro-miniature unmanned aerial vehicle. Background technique [0002] The characteristics of flexibility, low cost and fast acquisition of UAV make UAV aerial survey and remote sensing system become another new remote sensing platform after aerial photography, satellite remote sensing and other image acquisition. It has been widely used in surveying and mapping, agriculture, emergency, etc. each field. UAVs benefit from their lightweight and portable features, but they also have shortcomings such as wind resistance and poor attitude stability, which directly lead to irregular image heading and side overlaps, large image rotation angles, and poor flight path. Problems such as excessive curvature also directly affect the accuracy, aesthetics and reliability of ae...

AI Technical Summary

Problems solved by technology

UAVs benefit from their lightweight and portable features, but they also have shortcomings such as wind resistance and poor attitude stability, which directly lead to irregular image heading and side overlaps, large image rotation angles, and poor flight path. Problems such as excessive curvature also directly affect the accuracy, aesthetics and reliability of aerial survey mapping. Therefore, in the stage of UAV data acquisition, it is necessary to conduct strict quality inspection and evaluation of aerial photography data to ensure that it meets the results. Data Processing Requirements

[0003] At this stage, there is no effective quality control method for the inspection of aerial photography data. Generally, when the data obtained from aerial photography in the field enters the office, professionals will judge the image quality according to the matching points in the aerial three-encryption stage. When the quality is found When unqualified, it can only be re-flyed, resulting in waste of construction time and increased production costs

Images