Fuzzy ARTMAP算法在城市不透水面估算中的应用研究  

Estimating Impervious Surfaces Using the Fuzzy ARTMAP

作　　者：曹丽琴[1] 李平湘[2] 张良培[2] 许雄[2] 

机构地区：[1]武汉大学印刷与包装系,武汉市珞喻路129号430079 [2]武汉大学测绘遥感信息工程国家重点实验室,武汉珞市喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2012年第10期1236-1239,共4页Geomatics and Information Science of Wuhan University

基　　金：国家973计划资助项目(2009CB723905;2011CB707105);国家自然科学基金资助项目(40771139;40523005);中央高校基本科研业务费专项资金资助项目

摘　　要：为了克服线性光谱混合分析模型的缺陷,兼顾Landsat ETM+和Quickbird遥感数据多源信息及Fuzzy ARTMAP神经网络自适应学习的优势,提出了利用Fuzzy ARTMAP方法来估算城市不透水面覆盖度(ISP)。以武汉市为例,结果表明,与线性光谱混合分析模型相比,基于Fuzzy ARTMAP神经网络方法估算结果精度较高,与实际城市不透水面覆盖度分布范围一致。Impervious surface is a significant indictor in monitoring eco-environmental health.In linear spectral mixture analysis（LSMA） model,four endmembers are selected.Low albedo and high albedo,the factor of impervious surface are hard to obtain precisely.In order to overcome the flaw of LSMA,fuzzy ARTMAP was proposed to estimate the percent of impervious surface（ISP）.The method included the multi-resource information from Landsat ETM＋ and Quickbird and the superiority of auto-adapted of Fuzzy ARTMAP neural network.Taking the city of Wuhan in Hubei province as the example,the result showed that the precision of ISP estimated by fuzzy ARTMAP was higher than that of LSMA.The distribution of impervious surface obtained by fuzzy ARTMAP was consistent with the actual land surface.

关 键 词：城市不透水面 多源遥感数据 Fuzzy ARTMAP 

分 类 号：P237.9[天文地球—摄影测量与遥感]