HRD-YOLOX based insulator identification and defect detection method for transmission lines

UAV aerial images of insulators have problems such as complex backgrounds, small targets, and obscured targets, resulting in low detection accuracy of insulator targets. In order to solve the above problems, a HRD-YOLOX(Hybrid Attention Mechanisms, Regularization, and Depth Separable Convolution for...

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Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Li, Ying, Feng, Dongdong, Zhang, Qiang, Li, Shanjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Autonomous aerial vehicles Classification algorithms Convolution Convolutional neural networks Defects Entropy (Information theory) Feature extraction HRD-YOLOX algorithm Hybrid Attention Mechanism HAM-CSP Insulator Insulators Modules Poles and towers Power transmission lines Regularization Satellite images small target recognition Target detection Target recognition Training Transmission lines Unmanned aerial vehicles YOLO
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