An Analysis of Changes of Urban Impervious Surface Area Based on HJ-1 Multispectral Images and V-I-S Model

Abstract

In order to promote the application of the remote sensing data of HJ-1A/1B small satellite to urbanization monitoring,the authors selected Xuzhou City as the study area and chose HJ-1A/1B multispectral remote sensing images acquired in 2008 and 2010 as the data sources.After mixed pixel decomposition,the urban impervious surfaces were extracted by Linear Spectral Mixture Model(LSMM),Multiple Layer Perceptron(MLP) and Self-organizing Map(SOM) on the basis of V-I-S model.A comparison of the three methods through accuracy analysis shows that MLP is suitable for estimating the abundance of impervious surface area(ISA)from HJ-1 A/1B data,and ISA can clearly reflect the trends of urbanization.