关键词: 城市遥感, 建筑物信息, 特征筛选, Relief F, Pleiades影像

Abstract:

The automatic extraction of urban building information is one of the key technologies of urban remote sensing,however,the accuracy of extraction is often unstable due to many factors such as shadows and undersides.Taking the Pleiades satellite image as a basic data source,the paper explores the feasibility of urban building information extraction by advanced Relief F feature selection method.Firstly,the basic feature space of buildings with high resolution remote sensing image is built.Then,the optimal characteristics are selected by the weights which are determined by advanced Relief F algorithm.Finally,the supervised classification,the non-feature selection classification,and the advanced Relief F feature selection methods are respectively used to extract the building information in the study area,and the accuracy of the extraction is verified and compared by site investigation data.The result shows that the advanced Relief F method can reach a higher accuracy with 91.34% and a higher extraction speed with 34.31% and 5.62% higher than the other two methods.The result demonstrates that the advanced Relief F feature selection method has certain reliability and applicability,and can make the work of building information extraction become more automatic and intelligent.

Key words: urban remote sensing, building information, feature selection, Relief F, Pleiades satellite image