Dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition method

Abstract

The invention discloses a dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system. According to the dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system, a wide-angle camera and a long-focus camera are adopted as an unmanned aerial vehicle detection device and recognition device respectively for performing monitoring; and a monitoring image sequence is acquired, a target detection algorithm is adopted to detect an unmanned aerial vehicle suspected target, a pattern recognition algorithm is adopted to recognize the suspected target, and after the target is confirmed, the track is tracked, interfered and controlled. Photoelectric sensors are adopted as the unmanned aerial vehicle detection device and recognition device, and therefore, the dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system has the advantages of high reliability, low cost and the like; the suspected target is searched in a large space region by means of a wide-angle imaging system, and the target is confirmed and tracked by means of a long-focus imaging system which is a two-axis turntable, and therefore, requirements for high detection rate and high accuracy can be satisfied, the reliability of the system can be greatly improved, and therefore, the system can bring outstanding economic benefits and has high practical value.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and more specifically relates to a method for automatic detection and recognition of drones based on a dual-aperture photoelectric imaging system. Background technique [0002] The existing UAV detection and recognition methods use optical imaging sensors to automatically survey the sky to obtain image sequences of the area to be detected, and use the target motion characteristics between sequence images and the difference between the target and the background in a single image to detect UAVs. Wait for the low-altitude aircraft. This method is susceptible to environmental interference, and it is difficult to distinguish false alarms caused by UAV targets and background interference. And after the target is detected, the target cannot be further identified based on the existing information. In addition, the existing technology is based on the implementation of ra...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for detecting and identifying unmanned aerial vehicles based on a dual-aperture photoelectric imaging system. The accuracy of machine detection solves the technical problems of existing technologies such as large environmental interference, high false alarm rate, and inability to identify target types.

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