基于Vgg+Unet模型在线性工程扰动图斑的应用研究

Research on the application of Vgg+Unet model in linear engineering disturbance pattern

文章以在线性工程扰动图斑的应用为背景,以Vgg+Unet模型为基础展开了深入而全面的研究。探索了该模型在处理复杂工程扰动图斑时的性能和适用性,实验结果清晰显示,在不同程度的扰动下,Vgg+Unet模型展现出卓越的性能,特别是在复杂环境下对细节的出色捕捉能力。文章通过翔实的实验设计、精湛的数据分析及多角度的性能评估为深度学习在工程视觉任务中的应用提供了深刻而全面的见解,凸显了Vgg+Unet模型在处理工程扰动图斑方面的强大潜力。

In this study,based on the application of the disturbance pattern in linear engineering,the Vgg+Unet model is used to carry out in-depth and comprehensive research.The performance and applicability of the model in dealing with complex engineering disturbance patterns are explored.The experimental results clearly show that the Vgg+Unet model shows excellent performance under different degrees of disturbance,especially the excellent ability to capture details in complex environments.Through detailed experimental design,superb data analysis and multi-angle performance evaluation,this paper provides a profound and comprehensive insight into the application of deep learning in engineering vision tasks,highlighting the powerful potential of Vgg+Unet model in processing engineering disturbance pattern spots.