红外技术2026，Vol.48Issue(1)：45-51,7.
基于红外与可见光图像融合的隔离开关状态识别方法
State Identification Method of Disconnector Based on Infrared and Visible Image Fusion
摘要
Abstract
To solve the low recognition rate problem caused by the incompleteness of image information and noise interference caused by the traditional disconnector opening and closing state recognition method in the single image mode,a fusion method based on a Multi-scale Densely Connected Pyramid Attention Network(MSDPAN)was proposed that fused the infrared and visible images of the high-voltage disconnector.A Faster Region-based Convolutional Neural Network(Faster R-CNN)algorithm was used to recognize the fused images to improve the accurate identification ability of the opening and closing states of the high-voltage disconnector.The experimental results showed that the fusion strategy based on the MSDPAN retained a large amount of image information and was superior to several other common fusion strategies in terms of various evaluation indicators.The accuracy rate of Faster R-CNN reached 95.24％that was 6.15 percentage points higher than that of the CNN.Moreover,the average accuracy of the fusion image for the state recognition of the high-voltage disconnector reached 92.67％that was 7.67 percentage points higher than that of the infrared image and 3.33 percentage points higher than that of the visible image.关键词
红外与可见光融合/隔离开关状态识别/MSDPAN算法网络/Faster RCNN网络算法Key words
fusion of infrared and visible light/disconnector status identification/MSDPAN algorithm network/faster RCNN network algorithm分类
信息技术与安全科学引用本文复制引用
朱磊,卫炜,孔锋峰,姜昀芃,任欢..基于红外与可见光图像融合的隔离开关状态识别方法[J].红外技术,2026,48(1):45-51,7.基金项目
浙江省自然科学基金资助项目(LZ14E070001). （LZ14E070001）
