【摘要】 电力巡检在输电线路部件故障的排除中起着至关重要的作用。为了实现复杂背景下的输电线路电力小部件的目标检测,提出了一种改进SSD算法的小目标检测算法——PA-SSD。将反卷积融合单元融合到PANet算法中,以改进PANet结构,并以此为基础产生新的特征融合方式,融合不同尺度的特征图;将传统SSD算法中的特征图用新的特征图替换,形成新的特征金字塔模型。针对实际输电线路中的4种目标进行了测试,结果表明,PA-SSD算法与原始的SSD算法相比,其检测精度有了明显提高,检测速度也可以满足检测性能的要求。更多还原

【Abstract】 It is of great importance for the power inspection to troubleshoot the transmission line components.In order to achieve target detection of small power components of transmission lines in complex contexts,this paper proposes a small target detection algorithm based on the improved SSD algorithm-PA-SSD.The deconvolution fusion unit is integrated into the PANet algorithm to improve the PANet structure,and on this basis,a new feature fusion method is generated to fuse feature images of different scales.The feature graph in the traditional SSD algorithm is replaced with a new feature graph to form a new feature pyramid model.The results show that compared with the original SSD algorithm,the detection accuracy of PA-SSD algorithm is significantly improved,and the detection speed can also meet the requirements of detection performance.更多还原