Unmanned aerial vehicle effective aerial photo rapid screening method

Abstract

An unmanned aerial vehicle effective aerial photo rapid screening method comprises the following steps: (1) sequencing exposure points; (2) calculating a course direction angle; (3) extracting all airstrips in the course by adopting a clustering algorithm through a direction angle clustering algorithm; (4) extracting parallel air strips; (5) clustering aerial strip lengths; (6) extracting effective air strips; and (7) screening effective aerial photos. Furthermore, the effective aerial photography range can be calculated according to the head and tail end points of the first and last airlinesin the R in combination with aerial photo overlapping. The reason why a large number of invalid aerial photos are generated during aerial photography of the unmanned aerial vehicle is analyzed, an algorithm for rapidly screening effective aerial photos according to geometrical characteristics of an air route of the unmanned aerial vehicle is provided, and the algorithm is applied to actual aerialphotography tasks. Through verification analysis and improvement, a mode of combining automatic program screening and manual screening is adopted, the accuracy of a screening result is guaranteed, the screening mode is flexible, the problem that aerial photos of the unmanned aerial vehicle are difficult to select is effectively solved, and the method has high popularization value.

Description

technical field [0001] The invention relates to the technical field of UAV aerial photo screening control, in particular to a method for quickly screening effective UAV aerial photo. Background technique [0002] At present, for the means of obtaining high-resolution orthophotos using UAV aerial photogrammetry technology, due to its precise requirements on the timing of taking pictures, the operation mode of planning routes and setting automatic pictures through flight control software is generally used. The process of this operation mode is usually that the UAV takes off, lifts up to the aerial photography altitude in situ, and then flies horizontally to the mission area to start the operation. After the operation is completed, it returns to the starting point along the shortest horizontal distance, and finally lands in situ. When the current mainstream flight control software operates according to this process, it often starts to take pictures after the UAV reaches the hei...

AI Technical Summary

Problems solved by technology

However, in the post-processing of aerial photos, it is only necessary to ensure the overall overlap of all sorties, and the overlap between each sortie will affect the efficiency of drawing, so these are aerial photos and invalid aerial photos

[0007] It is time-consuming and labor-intensive to manually screen these aerial photos one by one, and for the aerial photos with similar positions, the manual screening effect is poor and the efficiency is low

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