Research on Modularization Method of Sponge City Underlying Surface Based on UAV Image Clustering Analysis
The modular generation method of underlying surface is one of the key technologies in sponge city plan-ning.This research establishes a modular automatic generation model based on unmanned aerial vehicle(UAV)im-age clustering analysis technology.Firstly,based on the UAV image of sponge city,an improved growing hierarchi-cal neural gas(GHNG)clustering model is established,which includes the horizontal growth and vertical growth mechanism,to realize the modular intelligent recognition of the urban underlying surface UAV images,and output the modular clustering results,Then,based on the surveying data in the sponge city planning of Fuzhou Helin area,the different types of underlying surfaces in the area are verified by an example.The result shows that the adaptive GHNG model and algorithm can intelligently identify different types of underlying surfaces in the process of sponge city planning,and further verify the reliability,accuracy and robustness of the adaptive GHNG model in the modu-lar automatic generation of urban underlying surfaces.
Surveying and mapping dataUnderlying surfaceClustering modelModularization
万方数据
维普
