基于倾斜摄影测量的村镇房屋调查数据批量自动更新

Batch Automatic Updating of Rural Housing Survey Data Based on Oblique Photogrammetry

为了提升村镇房屋调查数据的更新效率,本文介绍了基于倾斜摄影测量的村镇房屋数据采集方法,并分析了如何利用最小外接矩形及中心算法构建三维模型。通过建立KD树空间索引,本文提出了批量自动更新规则,实现了对房屋调查数据的快速、准确更新。研究结果表明,该批量自动更新方法能够显著提高数据更新的效率和准确性,为村镇房屋管理提供了有力的技术支持。

In order to improve the updating efficiency of village and town housing survey data,this article introduces a method of collecting village and town housing data based on oblique photogrammetry,and analyzes how to use the minimum bounding rectangle and center algorithm to construct a 3D model.By establishing a KD tree spatial index,this paper proposes a batch automatic update rule,which achieves fast and accurate updating of housing survey data.The research results indicate that this batch automatic update method can significantly improve the efficiency and accuracy of data updates,providing strong technical support for rural housing management.