Optics and Precision Engineering, Volume. 32, Issue 5, 661(2024)
Acoustic-vibration intelligent detection of flexible shallow buried objects
Figures & Tables(14)
Fig. 5. Sound-light fusion intelligent detection system of flexible shallow buried object
Fig. 10. F1 curve of flexible shallow buried objects category detection
Table 1. Characteristic parameters of typical flexible shields
View tableView in ArticleTable 1. Characteristic parameters of typical flexible shields
埋设目标 几何参数 外壳材质 69式 工程塑料 72式 橡胶 58式 低碳钢 砖块 混凝土
Table 2. Experimental environment and parameters for different buried depths of coach shell
View tableView in ArticleTable 2. Experimental environment and parameters for different buried depths of coach shell
探测目标 土壤类型 剪切量/mm 埋设深度/mm 声波频率/Hz 声波分贝/dB 69式 细沙 12.122 10/30/50 110 120 72式 细沙 10.935 10/30/50 58式 细沙 12.122 10/30/50
Table 3. Linux software and hardware configuration
View tableView in ArticleTable 3. Linux software and hardware configuration
硬件/软件 型号/版本 处理器 Inter（R）Xeon（R） CPU E5-2678 v3 @2.50GHz 显卡 NVIDIA GeForce RTX 2080Ti 内存 62G 深度学习框架 Pytorch 1.10.0（基于Python3.8）
Table 4. Training parameters setting
View tableView in ArticleTable 4. Training parameters setting
参 数 值 Epochs 300 Batchsize 48 Nomentum 0.937 输入图像尺寸 640×640 初始的学习率 0.01 权重衰减系数 0.0005
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Chi WANG, Peng CAO, Qing HUANG, Chao WANG, Cailiang SHENG. Acoustic-vibration intelligent detection of flexible shallow buried objects[J]. Optics and Precision Engineering, 2024, 32(5): 661
Paper Information
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Received: Nov. 8, 2023
Accepted: --
Published Online: Apr. 2, 2024
The Author Email: Cailiang SHENG (jsykscl@163.com)
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