Research on Intelligent Evaluation Model of Rural Planning Using Remote Sensing Technology

This study proposes an intelligent evaluation model based on remote sensing technology. The model makes comprehensive use of remote sensing data analysis and intelligent algorithms to effectively improve the evaluation efficiency and accuracy in the rural planning process. The model design adopts the DBSCAN algorithm to automatically identify the characteristic information in rural geographical areas through density clustering, and realizes the intelligent analysis of the planning adaptability of different regions. This paper conducts large-scale simulation experiments and accurately analyzes the simulation data. The results show that the model can accurately identify suitable and unsuitable areas for development in a complex rural environment, and the evaluation time is shortened by about 30% compared with traditional methods, and the evaluation accuracy is improved by 12%. In addition, the experimental results show that the DBSCAN algorithm has significant stability and adaptability when processing dense geographic data. Through the development and application of the intelligent evaluation model, this study provides a precise and fast decision support tool for rural planning, which has a high promotion value.