摘要
本文选取洪河保护区湿地景观为研究对象,运用面向对象分类方法对研究区进行分类研究,分类精度达到95.31%,Kappa系数为0.9452。面向对象的分类方法充分考虑地物的几何、光谱、纹理、结构等多方面的信息,能够有效地弥补传统分类方法的缺陷,在高分辨率应用上可以体现更好的效果。
In this paper, we take Hong-he National Nature Reserve wetland landscape as study area by object-oriented classification method. The classification accuracy is 95. 31% and Kappa coefficient is 0. 9452. Object-oriented classification methods take full ac-count of information of spectrum, geometry, texture, structure and other aspects, make up for the deficiency of the traditional classifica-tion methods, and can get a better information result.
关键词
面向对象
湿地分类
SPOT5
object- oriented
wetland classification
SPOT5
