基于三维地理信息系统的数字乡村建设与管理

Digital Rural Development and Management Based on Three-Dimensional Geographic Information System

数字化转型已成为推动农村建设与管理的关键策略之一,然而数字乡村发展过程中对地理数据的采集与应用较少。因此,研究提出数字乡村三维地理信息系统,引入改进神经网络算法进行地理数据获取与处理,再进行乡村三维重建完成三维地理信息系统的构建,最后对研究内容进行验证。实验结果表明,改进神经网络算法拥有92.87%的准确率与93.48%的召回率以及仅仅3.86%的误报率,其性能远高于对比算法。同时系统三维重建模型的误差极小,高程中误差与平面中误差分别为0.216 m,0.198 m。最后在A市B村的实际验证中,三维地理信息系统极大促进了数字乡村建设与管理的发展。研究为乡村实现数字化转型提供了理论支持和实际路径,推动乡村建设迈向更为智能、可持续的未来。

Digital transformation has become a key strategy to drive rural development and management.However,there is a lack of emphasis on the collection and application of geographic data in the process of rural digitalization.Therefore,this research proposes a three-dimensional geographic information system(GIS)for rural areas,incorporating an improved neural network algorithm for geographic data acquisition and processing.Subsequently,rural three-dimensional reconstruction is conducted to complete the construction of the three-dimensional GIS,followed by validation of the research content.Experimental results indicate that the improved neural network algorithm achieves a high performance with 92.87%accuracy,93.48%recall,and a low false-positive rate of 3.86%,outperforming comparative algorithms.Simultaneously,the reconstruction model of the three-dimensional system exhibits minimal errors,with elevation and planar errors of 0.216 m and 0.198 m,respectively.In the practical validation in A city,B village,the three-dimensional GIS significantly enhances digital rural development and management.The research provides theoretical support and a practical pathway for the digital transformation of rural areas,propelling rural development towards a more intelligent and sustainable future.