黄河河口湿地信息遥感提取研究

Study on Remote Sensing Information Extraction in Wetland of The Yellow River

本文通过几何校正、图像选取以及图像增强等方式进行了遥感影像的预处理,为准确地提取湿地信息提供了数据基础。在舍弃单纯的传统监督分类和非监督分类的前提下提出了一种利用分层提取地物信息的新方法:即,首先根据地物的光谱特征采用模型法对有水的湿地进行提取,然后用非监督分类对其它湿地类型进行提取,最终得到了湿地类型分布图及其相应的面积。

In this paper, we through the geometric correction, image selection and image enhancement method of RS image processing, provides the data basis for accurately extract wetland information.In abandon traditional supervised classification and unsupervised classification of simple prentise has put forward a new method of information extraction using hierarchical： namely, according to the spectral characteristics of object model method to extract water wet, and then use unsupervised classification to extract other wetland types, finally get the distribution map and the corresponding area of wetland types.