计算机工程与应用2026，Vol.62Issue(17)：332-342,11.DOI:10.3778/j.issn.1002-8331.2507-0118
融合滑动窗口与空间方向感知的输电线路多金具检测方法
Power Transmission Line Multi-Fittings Detection Method Integrating Sliding Windows and Spatial Orientation Awareness
摘要
Abstract
To effectively address the critical challenges of severe target occlusion and the difficulty of small object detec-tion caused by the dense distribution of insulators in transmission line images,this paper proposes a multi-insulator detec-tion method that integrates a sliding window mechanism with spatial directional modeling.Specifically,the paper intro-duces the key context guided module(KCGM)for the first time,which explicitly models deep dependencies between can-didate regions,thereby enhancing the distinguishability of targets in densely occluded areas.In addition,this paper innova-tively designs the spatial directional feature fusion(SDFF)module,which adaptively integrates deep semantic and direc-tional occlusion information through a spatial cross-fusion strategy to improve the recognition capability of small-scale insulators.The proposed method features strong modularity and plug-and-play compatibility.Extensive experiments on a self-constructed dataset comprising 18 categories of transmission line insulators demonstrate that this method outperforms mainstream detection models across most categories,achieving up to a 3.5 percentage points improvement in overall accu-racy compared with the baseline.Ablation studies further verify the effectiveness of the proposed modules in enhancing detection precision,mitigating occlusion issues,and improving small object recognition.关键词
输电线路/金具/小目标/密集遮挡/目标检测Key words
power transmission lines/fittings/small objects/dense occlusion/object detection分类
信息技术与安全科学引用本文复制引用
翟永杰,郑文杰,翟邦朝,胡哲东,杨珂,王乾铭..融合滑动窗口与空间方向感知的输电线路多金具检测方法[J].计算机工程与应用,2026,62(17):332-342,11.基金项目
国家自然科学基金(62373151) （62373151）
河北省自然科学基金面上项目(F2023502010) （F2023502010）
中央高校基本科研业务费专项资金(2024MS136) （2024MS136）
河北省高等学校科学研究计划(QN2025191). （QN2025191）
