摘要
介绍了一种新的分类方法——优化迭代非监督分类(OIUC),该方法是对传统非监督分类方法的改进。结合辅助材料,对传统非监督分类方法难以区分的部分的反复提取和细化,最后将细化的分类部分插入到原非监督分类的图像中。以岷江源头区流域植被分类为应用实例,采用优化迭代非监督分类方法,并取得了令人满意的分类结果。
As a new method of classification, Optimal Iteration Unsupervised Classification （OIUC） is introduced in this paper. With the help of other assistant materials, the sub - scenes that are difficuh to be classified by means of traditional unsupervised classification are extracted for more minute analysis and classification. Then, insert the subscenes e origin scene processed by traditional unsupervised classification. Applied the OIUC in vegetation classification in the Mingjiang river headwater region in 2002, the result is satisfied.
出处
《城市勘测》
2008年第1期75-77,共3页
Urban Geotechnical Investigation & Surveying
关键词
遥感:分类
优化迭代
Remote sensing
classification
optimal iteration
