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基于纹理特征的微山湖湿地信息提取研究
引用本文:姜良美,王芳,肖志坤,张东水.基于纹理特征的微山湖湿地信息提取研究[J].湖南科技大学学报(自然科学版),2011(4).
作者姓名:姜良美  王芳  肖志坤  张东水
作者单位:湖南科技大学建筑与城乡规划学院;
基金项目:湖南省自然科学基金项目(10JJ4027); 湖南省教育厅一般项目(10C0722)
摘    要:研究基于Landsat7 Enhanced Thematic Mapper Plus(ETM+)影像,利用典型地物的光谱特征及灰度共生矩阵的纹理特征建立分类模型,提取了微山湖地区的泥滩信息,并采用随机采样法对分类结果进行了评价,Kappa系数达到0.822 7.研究表明,单一使用光谱特征分类的方法不能够有效的区分水体与泥滩信息,而辅以纹理特征后的分类方法可以将二者区分开,并且能够达到一定的分类精度,为湿地遥感信息的分类提供了一种方法.

关 键 词:湿地  微山湖  改进型主题测绘仪  信息提取  灰度共生矩阵  

Study on extracting wetland information in Weishanhu Lake area based on texture feature
JIANG Liang-mei,WANG Fang,XIAO Zhi-kun,ZHANG Dong-shui.Study on extracting wetland information in Weishanhu Lake area based on texture feature[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2011(4).
Authors:JIANG Liang-mei  WANG Fang  XIAO Zhi-kun  ZHANG Dong-shui
Institution:JIANG Liang-mei,WANG Fang,XIAO Zhi-kun,ZHANG Dong-shui (School of Architecture & Urban Planning,Hunan University of Science & Technology,Xiangtan 411201,China)
Abstract:Based on Landsat7 Enhanced Thematic Mapper Plus(ETM+) image data,the information of mudflats of Weishanhu Lake area was extracted,by using of established classification model method with spectral characteristics and gray level concurrence matrix texture feature of typical types.In addition,random sampling method was evaluated on the classifications with an overall accuracy(Kappa Coefficient) of 0.8227.The results show that spectral features classification method which is single used can't effectively separa...
Keywords:wetland  Weishanhu Lake  ETM  extraction  gray level concurrence matrix  
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