国土资源遥感Issue(4)：92-99,8.
基于HJ-1数据和V-I-S模型的城市不透水层变化分析
An Analysis of Changes of Urban Impervious Surface Area Based on HJ- 1 Multispectral Images and V- I -S Model
摘要
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.关键词
环境与灾害监测预报小卫星/不透水层/线性光谱混合模型/多层感知器神经网络/自组织映射神经网络Key words
HJ - 1A/1B/ Impervious surface/ Linear Spectral Mixture Model (LSMM)/ Multiple Layer Perceptron( MLP) / Self - Organizing Map( SOM)分类
计算机与自动化引用本文复制引用
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,(4):92-99,8.基金项目
江苏省自然科学基金项目(编号:BK2010182)及江苏省“333工程”科研项目资助计划项目(编号:2009-32)共同资助. （编号:BK2010182）
