Method for detecting small unmanned aerial vehicle target based on super-pixels and scene prediction

Abstract

The invention belongs to the technical field of image processing and unmanned aerial vehicle detection, and relates to a method for detecting a small unmanned aerial vehicle target based on super-pixels and scene prediction. The method mainly comprises the steps of preprocessing, unmanned aerial vehicle target probability estimation and unmanned aerial vehicle detection, and is characterized in that in the step of preprocessing, super-pixel generation and scene classification are performed on an optical image to be detected so as to acquire a super-pixel based scene classification image; in the step of unmanned aerial vehicle target probability estimation, a significance depth value of each scene in the classification image acquired in the step a is respectively estimated, and the probability of existence of an unmanned aerial vehicle of each scene is calculated; and in the step of unmanned aerial vehicle detection, feature of the image to be detected are extracted, feature saliency maps are acquired by adopting an SVD based multilayer pyramid structure, weighting is performed on the different feature saliency maps to acquire a general saliency map, the general saliency map is loaded into the super-pixel classification image acquired in the step a, and a target detection result of an unmanned aerial vehicle is acquired according to a weight of the probability acquired in the step b when being applied to different scene areas by adopting a mechanism of winner-take-all and return inhibition. The method has the beneficial effect that the detection accuracy is higher compared with traditional technologies.

Description

technical field [0001] The invention belongs to the technical field of image processing and UAV detection, and relates to a small UAV target detection method based on superpixels and scene prediction. Background technique [0002] With the continuous maturity of drone technology and the sharp drop in the price of related products, various types of drones have been used in different fields. However, due to the lack of regulatory control measures for drones, the phenomenon of illegal flying of drones has become increasingly serious, and has even become one of the low-cost means of crime for criminals. Facing the threat of such targets, there is no effective means of detection and discovery. [0003] Based on the above requirements, there is an urgent need to develop detection and discovery technology for small UAV targets. Use the high-definition optical camera to obtain the image and video of the small UAV target, and can make full use of the brightness, contrast and other ...

AI Technical Summary

Problems solved by technology

[0005] In addition, the traditional algorithm ignores some salient information of the scene, fails to make full use of the image features, and the application range and effectiveness are limited. How to efficiently and accurately realize the detection of drones is the problem to be solved by the present invention

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