Research on Application of Bird Target Extraction Algorithm Based on Grey Clustering in Laser Bird Repetition of Distribution Lines

With the continuous improvement of the natural ecological environment in China, the reproduction of birds is gradually accelerated. The benefits of birds to nature and human beings are well known, but the frequent activities of birds have brought some harm to the safe operation of HV transmission lines. According to the characteristics of wide field of view, long distance and low signal-to-noise ratio of targets of optical bird detection in power distribution lines, it is necessary to build a set of detection algorithm suitable for wide field of view, low signal-to-noise ratio of targets and high optical stability, so as to improve the monitoring and early warning ability of foreign flying objects in power distribution lines and ensure the safe operation of power distribution lines. In this paper, an algorithm of bird target extraction based on grey clustering is proposed to detect the target birds in the transmission line scene, and the decision threshold is used to further increase the resilience of the background complexity, thus effectively improving the bird detection rate. The experimental results show that this algorithm is more accurate in recognizing the characteristics of birds, with a 25.72% higher accuracy than the comparison algorithm, and a 17.37% higher recall rate. It can accurately locate the edge contour of birds. After many scans, radar detection can accurately detect the bird target, which is not affected by the interference of trees. This method has a wide range of bird repelling and a lasting effect, which provides an important basis for the prevention and control of bird-related faults in distribution lines.