An unmanned aerial vehicle life detection method based on multi-source information fusion

Abstract

The invention discloses an unmanned aerial vehicle life detection method based on multi-source information fusion, and the method comprises the steps: S1, enabling an unmanned aerial vehicle to carrya multi-source sensor for the detection and search of a target area, and enabling the multi-source sensor to comprise a radar sensor, a visible light image sensor, and an infrared thermal image sensor; S2, respectively receiving and preprocessing the radar image, the visible light image and the infrared image to obtain a preprocessed radar image, a preprocessed visible light image and a preprocessed infrared image; and S3, carrying out image registration on the preprocessed visible light image and the infrared image, carrying out fusion, carrying out secondary fusion on a fusion result and theradar image, and outputting a target detection result. The method has the advantages of being simple in implementation method, high in interference resistance and environmental adaptability, high indetection efficiency and precision and the like.

Description

technical field [0001] The invention relates to a wide range of technical fields of life detection and rescue, in particular to an unmanned aerial vehicle life detection method based on multi-source information fusion. Background technique [0002] When large-scale natural disasters such as earthquakes and landslides occur, it is urgent to quickly detect and search for the specific location of the trapped buried people in order to organize rapid rescue. At present, life detection radar is usually used as a search device, but life detection radar needs to be manually checked point by point in the search area. Life detection radar can penetrate non-metallic obstacles such as shrubs, grass, shallow floating soil, and building ruins. Detect the vital signs of the human target below it, but the area that can be detected is limited. It is usually suitable for human target search and detection in the case of ruins, shallow soil / debris / floating grass burial, and for dangerous collap...

AI Technical Summary

Problems solved by technology

This type of method uses the UAV to judge the location of the person in distress through the directional antenna. The actual detection accuracy is still not high, and the information of the person in distress is judged only by the strength of the wireless signal. The source of the signal cannot be distinguished, and the probability of misjudgment is high. It is difficult to achieve fast and accurate scanning in a wide range

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