中圖分類號：TP391.4 文獻標志碼：A DOI: 10.16157/j.issn.0258-7998.234502
中文引用格式： 蔣甜甜，葉學義，李剛，等. 全局通道注意力增強的毫米波圖像目標檢測[J]. 電子技術應用，2024，50(3)：19-25.
英文引用格式： Jiang Tiantian，Ye Xueyi，Li Gang，et al. Global channel attention boosted active millimeter wave image object detection[J]. Application of Electronic Technique，2024，50(3)：19-25.

Global channel attention boosted active millimeter wave image object detection

Abstract： Due to the low discrimination between objects and background texture in active millimeter wave images and the need for security in real time, a global channel attention booster-based method for active millimeter wave image object detection is proposed. In order to improve attention to the global channel information of the concealed object and improve detection performance when the concealed object could not be distinguished from the background texture, this method uses YOLOv5s as the carrier and adds global channel attention to the position direction of coordinate attention. And the K-Means ++ clustering method is used to create the anchor box for identifying concealed objects in millimeter wave images. The results demonstrate that both for array image dataset and line sweep image dataset, the detection model enhances the attention of hidden objects feature and improves the detection performance on the basis of meeting the security real-time performance.

Key words : active millimeter wave image detection；global channel attention booster；K-means++；attention mechanism