土地利用遥感分类方法研究进展

Development of Research on Remote Sensing Classification Technology for Land Use and Cover

遥感技术已经广泛的应用于土地利用与土地覆盖数据获取中。现综合分析了目前主要的遥感图像分类方法, 将遥感图像分类方法归纳为:基于传统统计分析的分类方法、神经网络分类方法、模糊分类方法、决策树分类方法、专家系统分类方法,并对各种方法的应用情况进行了综述,并总结出各种分类方法应用特点。

Remote sensing technique has been widely applied in land use and land cover. The popular methods of remote sensing image classification have been generally analyzed and summarized. And the main methods are classification based on statistic, neural network classification, fuzzy classification, decision tree classification, expert system classification. Finally, the characters of each method have been summarized.