Unmanned aerial vehicle image-based flight state detection method and device
A technology of flight state and UAV, which is applied in the field of image processing, can solve problems such as inaccurate image parameters, inaccurate flight belt division, and irregular side overlap, and achieve accurate calculation results and accurate flight belt division results. Effect
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no. 1 example
[0028] figure 2 A flow chart of a method for detecting a flight state based on an image of a drone provided by an embodiment of the present invention is shown. See figure 2 , the method includes:
[0029] Step S110: According to the location information of the drone corresponding to each of the multiple images obtained by the drone, multiple images included in each of the multiple flight lanes that the drone flies are acquired.
[0030] For multiple images captured by the aerial survey of the UAV, the shooting sequence of the images and the position information of the UAV corresponding to each image are stored. The position information of the drone corresponding to the image refers to the position information of the drone when the image is taken, and the position information may be POS information. According to the shooting sequence of multiple images and the position information of the UAV corresponding to each image, the multiple images can be divided into flight zones,...
no. 2 example
[0147] This embodiment provides a flight status detection device 200 based on drone images, please refer to Figure 6 , the device 200 includes:
[0148] The flight zone division module 210 is used to obtain multiple images included in each flight belt in the multiple flight belts of the drone flight according to the position information of the drone corresponding to each image in the multiple images obtained by the drone; The same-named point acquisition module 220 is used to acquire the same-named points that match each other between two adjacent images, and the two adjacent images include every two adjacent images in each flight zone and between different flight belts. For every two adjacent images; the parameter acquisition module 230 is configured to acquire a plurality of image parameters reflecting the flight state of the UAV according to the obtained matching points of the same name.
[0149] Wherein, the air belt division module 210 includes: a sequence determination...
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