监督分类 supervised classification
- 提出了一种基于局部自动搜索和光谱匹配技术的监督分类训练样本的纯化方法。
A purified algorithm for training samples based on local automatic searching and spectral matching technique is presented. - 摘要利用监督分类和非监督分类相结合的分层提取分类方法对南川市2000年遥感影像进行解译。
The image of Nanchuan in 2000 was interpreted using a multi-extracting method combining supervised classification with non-supervised classification. - 主要针对监督分类和非监督分类一些常用的方法加以说明,各列举了两种比较常用的方法及其现状。
This paper mainly deals with supervised and unsupervised classification method used to be that two of the more commonly used methods and listed this status.