To study the conservation of architectural heritage, computer algorithms are used to process the artificial field measurements and reference data maps. A 3D virtual model of traditional architecture is constructed for the direct learning and feature extraction from image data through deep learning. A set of tools and processes for pixel-level image processing labeling are proposed, and a label quality checking tool is written specially. Through the training method of transfer learning, the convergence speed and accuracy of the network are accelerated and improved. Based on the field data collection of the architectural heritage by a 3D laser scanner, the impacts of the number of stations, the number of targets, and the distance on the data scanning results are analyzed, thereby drawing the rules and principles of setting up the survey stations. While processing the point cloud data, for the redundant data and the rough difference points found in the original point cloud data, the program is written by the gross error elimination algorithm, which realizes the automatic elimination of the point cloud gross error data and provides a convenient method for data processing. The data collection, data processing, and model construction of architectural heritage are performed by the 3D laser scanner. The 3D models of traditional architecture with texture photos are obtained. The results show that through correlation error analysis and model evaluation, the requirements for the measurement of traditional architecture can be achieved. Therefore, the technology has a guiding significance for the conservation of traditional architecture, which proves that the 3D laser scanner has broad application prospects in the surveying and mapping of architectural heritage.

为了研究建筑遗产的保护，使用计算机算法来处理人工场测量和参考数据图。构建了传统架构的3D虚拟模型，用于直接学习和通过深度学习从图像数据中提取特征。提出了一套用于像素级图像处理标签的工具和过程，并专门编写了标签质量检查工具。通过迁移学习的训练方法，可以加速和提高网络的收敛速度和准确性。基于3D激光扫描仪对建筑遗产的现场数据收集，分析了站点数量，目标数量和距离对数据扫描结果的影响，从而得出了建立数据中心的规则和原则。调查站。在处理点云数据时，针对原始点云数据中发现的冗余数据和粗差点，用粗差消除算法编写程序，实现了点云粗差数据的自动消除，并提供了方便的数据处理方法。建筑遗产的数据收集，数据处理和模型构建由3D激光扫描仪执行。获得带有纹理照片的传统建筑的3D模型。结果表明，通过相关误差分析和模型评估，可以达到传统建筑测量的要求。因此，这项技术对于保护传统建筑具有指导意义，