摘要
红树林是世界上最重要的生态系统之一,对于海岸带的保护起着非常重要的作用。然而,由于红树林所处的地理环境,对其进行实地调查是很困难的。遥感的出现,为我们研究红树林提供了一个很好的技术手段。但由于红树林的光谱信息与其他植被光谱信息的相似性,给红树林信息的提取带来了很大的困难。基于IKONOS卫星影像,采用面向对象的信息提取方法,利用简单的决策树分类方法进行了海岸带红树林信息提取的实验,得到了很好的结果,并与其他方法进行了比较。
Mangrove is one of the most important coastal ecosystems in the world. It plays an important role in the protection of the coastal regions. However,as mangrove entironment is uncome-at-able,it is very difficult for the purpose of extraction. Similarly ,it is difficult for the extraction of mangrove information because of the similar with the other vegetations in spectrum. Object-oriented is used for the extraction of the mangrove information based on the IKONOS-2. A simple decision tree is also used in the process of classification. A better result is gained compared to the conventional methods.
出处
《海洋测绘》
2007年第2期41-44,共4页
Hydrographic Surveying and Charting
关键词
遥感
红树林
面向对象分类
基于分类的分割
remote sensing
mangrove
object-oriented classification
segmentation based on classification