Fuzzy ARTMAP算法在城市不透水面估算中的应用研究

曹丽琴, 李平湘, 张良培, 许雄

曹丽琴, 李平湘, 张良培, 许雄. Fuzzy ARTMAP算法在城市不透水面估算中的应用研究[J]. 武汉大学学报 ( 信息科学版), 2012, 37(10): 1236-1239.
引用本文: 曹丽琴, 李平湘, 张良培, 许雄. Fuzzy ARTMAP算法在城市不透水面估算中的应用研究[J]. 武汉大学学报 ( 信息科学版), 2012, 37(10): 1236-1239.
CAO Liqin, LI Pingxiang, ZHANG Liangpei, XU Xiong. Estimating Impervious Surfaces Using the Fuzzy ARTMAP[J]. Geomatics and Information Science of Wuhan University, 2012, 37(10): 1236-1239.
Citation: CAO Liqin, LI Pingxiang, ZHANG Liangpei, XU Xiong. Estimating Impervious Surfaces Using the Fuzzy ARTMAP[J]. Geomatics and Information Science of Wuhan University, 2012, 37(10): 1236-1239.

Fuzzy ARTMAP算法在城市不透水面估算中的应用研究

基金项目: 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
详细信息
    作者简介:

    曹丽琴,博士生,主要从事高光谱遥感信息处理及遥感应用方面的研究。

  • 中图分类号: P237.9

Estimating Impervious Surfaces Using the Fuzzy ARTMAP

Funds: 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。
    Abstract: 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.
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出版历程
  • 收稿日期:  2011-08-15
  • 发布日期:  2012-10-04

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