Modified-faster-R-CNN-based Identification Algorithm for Transmission Line Broken Strand
In order to solve the problem of inaccurate image recognition of power transmission line broken strands,an i-dentification method for power transmission line broken strands was designed based on modified Faster R-CNN algorithm.This method uses DenseNet121 instead of VGG16 and integrates the output features of each dense block.At the same time,NMS algorithm is replaced by Soft-NMS algorithm to alleviate false negative identification of overlapping targets.The experimental results showed that after replacing feature extraction network,the mAP reaches 85.1%.Meanwhile,the mAP after feature fusion reached 90.2%,achieving an increase of 5.1%compared to before improvement.By adopting the Soft-NMS algorithm,mAP was increased by 1.6%.The final improved model had anmAP increment from 80.8%to 92.5%,demonstrating its effectiveness in improving detection performance.