An Analysis of Changes of Urban Impervious Surface Area Based on HJ-1 Multispectral Images and V-I-S Model
SHAN Dan-dan, DU Pei-jun, XIA Jun-shi, LIU Si-cong
Key Laboratory for Land Environment and Disaster Monitoring of State Bureau of Surveying and Mapping, China University of Mining and Technology, Xuzhou 221116, China
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.
单丹丹, 杜培军, 夏俊士, 柳思聪. 基于HJ-1数据和V-I-S模型的城市不透水层变化分析[J]. 国土资源遥感, 2011, 23(4): 92-99.
SHAN Dan-dan, DU Pei-jun, XIA Jun-shi, LIU Si-cong. An Analysis of Changes of Urban Impervious Surface Area Based on HJ-1 Multispectral Images and V-I-S Model. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 92-99.
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2011, Vol. 23 
