摘要
在现代建筑工程测绘领域,数据的采集、处理与分析是实现高精度、高效率的项目实施的关键。建筑工程测绘数据具有大规模、高维度、复杂性强等特性,这对数据处理和分析方法提出了更高的要求。深度学习作为人工智能领域的重要分支,在图像识别、语音处理和自然语言处理领域得到了广泛应用。文中系统地研究了基于深度学习的建筑工程测绘数据处理与分析方法,从深度学习算法的理论框架入手,详细探讨了其在测绘数据处理与分析中的应用模型和应用场景,并通过案例研究展示了深度学习技术在建筑工程测绘数据处理领域中的有效性和实用性。
In the field of modern construction engineering surveying and mapping,data collection,processing and analysis is the key to realizing high-precision and high-efficiency project implementation.Construction engineering surveying and mapping data has the characteristics of large-scale,high-dimensional and strong complexity,which puts forward higher requirements for data processing and analysis methods.As an important branch of artificial intelligence,deep learning has been widely used in image recognition,speech processing and natural language processing.This paper systematically studies the construction engineering surveying and mapping data processing and analysis method based on deep learning,starting from the theoretical framework of deep learning algorithm,discusses its application model and application scenarios in surveying and mapping data processing and analysis in detail,and demonstrates the effectiveness and practicality of deep learning technology in the field of construction engineering surveying and mapping data processing through case studies.
作者
刘凯
LIU Kai(Shandong Guokun Planning and Design Co.,Ltd.,Jinan 250100,China)
出处
《移动信息》
2024年第6期329-331,共3页
MOBILE INFORMATION
关键词
数度学习
工程测绘
建筑工程
数据处理
Deep learning
Engineering surveying
Architectural engineering
Data processing
