基于知识与规则的红树林遥感信息提取

被引:15
作者
张雪红
机构
[1] 南京信息工程大学遥感学院
关键词
红树林; 绿度; 湿度; 知识与规则; K-T变换;
D O I
10.13878/j.cnki.jnuist.2011.04.005
中图分类号
TP751 [图像处理方法];
学科分类号
摘要
针对难以将红树林同陆地植被,尤其是同水体与陆地植被混合像元有效识别的现象,结合TM影像提取了能有效反映红树林湿地特征的绿度指数和湿度指数,同其他常用的NDVI、TM3/TM5、TM5/TM4等指数相比:绿度指数和湿度指数更能有效地提高红树林同陆地植被,尤其是同水体与植被混合像元的可分性.采用知识与规则方法提取红树林遥感信息,与其他学者常采用的分类特征及分类方法相比,识别精度有明显提高,Kappa系数提高0.10,错分率降低16.1个百分点.
引用
收藏
页码:341 / 345
页数:5
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